sdr-enthusiasts/docker-adsb-ultrafeeder

• sdr-enthusiasts/docker-adsb-ultrafeeder
  • Introduction
  • Up-and-Running Quickly with docker-compose
  • Ports
  • Runtime Environment Variables
    • General Configuration
      • Basic Ultrafeeder Parameters
        • Mandatory Parameters
        • Optional Parameters
    • Getting ADSB data to the Ultrafeeder
      • Connecting to a SDR or other hardware device
        • Mandatory parameters
        • Optional/Additional Parameters
        • AutoGain for RTLSDR Devices
      • Connecting to external ADSB data sources
        • All-in-One Configuration using ULTRAFEEDER_CONFIG
        • Networking parameters
        • Feeding directly from Ultrafeeder
        • Alternate Configuration Method with READSB_NET_CONNECTOR
      • Optional Networking Parameters
      • MLAT configuration
      • Configuring the built-in MLAT Hub
    • Web Gui (tar1090) Configuration
      • tar1090 Core Configuration
      • tar1090 config.js Configuration - Title
      • tar1090 config.js Configuration - Output
      • tar1090 config.js Configuration - Map Settings
      • tar1090 config.js Configuration - Range Rings
      • tar1090 config.js Configuration - Expert
      • tar1090 config.js Configuration - Route Display
    • graphs1090 Configuration
      • graphs1090 Environment Parameters
      • Enabling UAT data
      • Enabling AirSpy graphs
      • Enabling Disk IO and IOPS data
      • Configuring the Core Temperature graphs
      • Reducing Disk IO for Graphs1090
    • timelapse1090 Configuration
  • Updating your location with GPSD
    • Basic Installation and Configuration of your GPS hardware and gpsd drivers
    • Optional parameters regulating the restart of mlat-client when the location changes
  • Web Pages
  • Paths
  • Display of Metrix with Grafana and Prometheus/InfluxDB
    • Configuring Grafana
    • Output from Ultrafeeder to Prometheus
    • Output from Ultrafeeder to InfluxDBv2
  • Message decoding introspection
  • Minimalist setup
  • Logging
  • Getting help
  • License and Trademarks
    • GPLv3 License
    • Trademarks
  • Acknowledgements

Introduction

adsb-ultrafeeder™ is a ADS-B data collector container that can be used to:

• retrieve ADS-B data from your SDR or other device
• display it on a local map, including options to show tracks, heatmaps, and system performance graphs
• forward the data to one or more aggregators using BEAST/BEAST-REDUCE/BEAST-REDUCE-PLUS format
• send MLAT data to these aggregators
• receive and consolidate MLAT results data (built-in mlathub)
• Interface with external visualization tools such as Grafana using statistics data available in InfluxDB and Prometheus format

In order to accomplish this, the container makes use of the following underlying technologies:

• SDR-Enthusiasts™ Docker Base-Image
• Wiedehopf's branch of readsb
• Wiedehopf's tar1090 graphical interface
• Wiedehopf's graphs1090
• MLAT Client

It builds and runs on linux/amd64, linux/arm/v7 (linux/armhf) and linux/arm64 architectures.

Up-and-Running Quickly with docker-compose

• An example docker-compose.yml file can be found in this repository.
• The accompanying environment variable values are defined in the .env file in this repository

Once you have installed Docker, you can follow these lines of code to get up and running in very little time:

sudo mkdir -p -m 777 /opt/adsb
cd /opt/adsb
wget https://raw.githubusercontent.com/sdr-enthusiasts/docker-adsb-ultrafeeder/main/docker-compose.yml
wget https://raw.githubusercontent.com/sdr-enthusiasts/docker-adsb-ultrafeeder/main/.env

Then edit the docker-compose.yml and .env files and make any changes as needed. Please configure ALL variables in .env:

nano docker-compose.yml
nano .env

Finally, bring up the stack. This may take a minute as it will automatically download the container and start it up:

docker compose up -d

Ports

Some common ports are as follows (which may or may not be in use depending on your configuration). You can override the port mappings with the parameters shown in the Optional Networking Parameters section.

The general principle behind the port numbering, is:

• 30xxx ports are connected to the main instance readsb that decodes and processes the SDR data
• 31xxx ports are connected to the MLAT Hub
• 92xx ports are for Prometheus statistics output
• 80 contains the Tar1090 web interface

Port	Details
30001/tcp	Raw protocol input
30002/tcp	Raw protocol output
30003/tcp	SBS/Basestation protocol output
32006/tcp	SBS/Basestation protocol input
30004/tcp 30104/tcp	Beast protocol input
30005/tcp	Beast protocol output
30006/tcp	Beast reduce protocol output
30047/tcp	Json position output
31003/tcp	MLATHUB SBS/Basestation protocol output
31004/tcp	MLATHUB Beast protocol input
31005/tcp	MLATHUB Beast protocol output
31006/tcp	MLATHUB Beast-reduce protocol output
9273/tcp	Prometheus web interface with data from readsb
9274/tcp	Prometheus web interface with data from Telegraf
80/tcp	Tar1090 (map) web interface

Any of these ports can be made available to the host system by using the ports: directive in your docker-compose.yml. The container's web interface is rendered to port 80 in the container. This can me mapped to a port on the host using the docker-compose ports directive. In the example docker-compose.yml file, the container's Tar1090 interface is mapped to 8080 on the host system, and ports 9273-9274 are exposed as-is:

    ports:
      - 8080:80               # to expose the web interface
      - 9273-9274:9273-9274   # to expose the statistics interface to Prometheus

Json position output:

• outputs an aircraft object for every new position received for an aircraft. The following parameters (which can be added with READSB_EXTRA_ARGS) control this output:
• --net-json-port-interval Set minimum interval between outputs per aircraft for TCP json output, default: 0.0 (every position)
• --net-json-port-include-noposition TCP json position output: include aircraft without position (state is sent for aircraft for every DF11 with CRC if the aircraft hasn't sent a position in the last 10 seconds and interval allowing)
• each json object will be on a new line
• https://github.com/wiedehopf/readsb/blob/dev/README-json.md

Aircraft.json:

• https://github.com/wiedehopf/readsb/blob/dev/README-json.md
• available on the same port as the web interface, example: http://192.168.x.yy:8087/data/aircraft.json

Runtime Environment Variables

The sections below describe how to configure each part of the container functionality. Each section describes what's needed to come up with a minimally viable configuration, followed by additional / optional parameters that can also be set.

Note:

• to enable a parameter, you can set it to any of 1, true, on, enabled, enable, yes, or y. In the table below, we'll simply use true for convenience.
• to disable a parameter, you can set it to anything else or simply leave it undefined.

General Configuration

You need to make sure that the USB device can be accessed by the container. The best way to do so, is by adding the following to your docker-compose.yml file:

    device_cgroup_rules:
      - 'c 189:* rwm'
...
    volumes:
      - /dev:/dev:rw

The advantage of doing this (over simply adding a device: directive pointing at the USB port) is that the construction above will automatically recover if you "hot plug" your dongle. ⚠️This feature requires a recent version of docker-compose (version >=2.3). Make sure your system is up to date if dongles are not found. ⚠️

Basic Ultrafeeder Parameters

Mandatory Parameters

The following parameters must be set (mandatory) for the container to function:

Environment Variable	Purpose	Default
LAT or READSB_LAT	The latitude of your antenna. Use either parameter, but not both
LONG or READSB_LON	The longitude of your antenna. Use either parameter, but not both
ALT or READSB_ALT	The altitude of your antenna above sea level. For example, 15m or 45ft
TZ	Your local timezone in TZ-database-name format

Optional Parameters

Environment Variable	Description	Controls which readsb option	Default
ENABLE_TIMELAPSE1090	Optional / Legacy. Set to true to enable timelapse1090. Once enabled, can be accessed via http://dockerhost:port/timelapse/.	Unset
READSB_EXTRA_ARGS	Optional, allows to specify extra parameters for readsb	Unset
READSB_DEBUG	Optional, used to set debug mode. n: network, P: CPR, S: speed check	Unset
S6_SERVICES_GRACETIME	Optional, set to 30000 when saving traces / globe_history	3000
READSB_ENABLE_BIASTEE	Set to true to enable bias tee on supporting interfaces		Unset
READSB_RX_LOCATION_ACCURACY	Accuracy of receiver location in metadata: 0=no location, 1=approximate, 2=exact	--rx-location-accuracy=<n>	2
READSB_HEATMAP_INTERVAL	Per plane interval for heatmap and replay (if you want to lower this, also lower json-trace-interval to this or a lower value)	--heatmap=<sec>	15
READSB_MAX_RANGE	Absolute maximum range for position decoding (in nm)	--max-range=<dist>	450
READSB_STATS_EVERY	Number of seconds between showing and resetting stats.	--stats-every=<sec>	Unset
READSB_STATS_RANGE	Set this to true to collect range statistics for polar plot.	--stats-range	Unset
READSB_RANGE_OUTLINE_HOURS	Change which past timeframe the range outline is based on	--range-outline-hours	24
READSB_EXTRA_ARGS	Optional, allows to specify extra parameters for readsb		Unset
S6_SERVICES_GRACETIME	Optional, set to 30000 when saving traces / globe_history		3000
LOGLEVEL	verbose (all messages), error (errors only), none (minimal)		verbose
MLAT_STARTUP_STAGGER	mlat-client startup staggering for tidy logs (reduce for quicker startup)		15

READSB_EXTRA_ARGS just passes arguments to the commandline, you can check this file for more options for wiedehopf's readsb fork: https://github.com/wiedehopf/readsb/blob/dev/help.h

Getting ADSB data to the Ultrafeeder

There are two ways to provide ADSB data to the Ultrafeeder:

• provide the container with access to a SDR or other hardware device that collects ADSB data
• allow the container to connect to a ADSB data source in Beast, Raw, or SBS format

These methods are not mutually exclusive - you can use both at the same time if you want.

Connecting to a SDR or other hardware device

If you want to connect your SDR to the container, here's how to do that:

Mandatory parameters

Variable	Description	Controls which readsb option	Default
READSB_DEVICE_TYPE	If using an SDR, set this to rtlsdr, modesbeast, gnshulc depending on the model of your SDR. If not using an SDR, leave un-set.	--device-type=<type>	Unset
READSB_RTLSDR_DEVICE	Select device by serial number.	--device=<serial>	Unset
READSB_BEAST_SERIAL	only when type modesbeast or gnshulc is used: Path to Beast serial device.	--beast-serial=<path>	/dev/ttyUSB0

Optional/Additional Parameters

Variable	Description	Controls which readsb option	Default
READSB_GAIN	Set gain (in dB). Use autogain to have the container determine an appropriate gain, more on this below.	--gain=<db>	Max gain
READSB_RTLSDR_PPM	Set oscillator frequency correction in PPM. See Estimating PPM	--ppm=<correction>	Unset

AutoGain for RTLSDR Devices

If you have set READSB_GAIN=autogain, then the system will take signal strength measurements to determine the optimal gain. The AutoGain functionality is based on a (slightly) modified version of Wiedehopf's AutoGain. AutoGain will only work with rtlsdr style receivers.

Note that AutoGain is not related to the SDR's AGC setting (controlled with the READSB_RTLSDR_ENABLE_AGC variable). We do not recommend enabling AGC for Ultrafeeder or any other ADS-B decoder.

There are 2 distinct periods in which the container will attempt to figure out the gain:

• The initial period of 2 hours, in which an adjustment is done every 5 minutes
• The subsequent period, in which an adjustment is done once every day

Please note that in order for the initial period to complete, the container must run for 90 minutes without restarting.

When taking measurements, if the percentage of "strong signals" (i.e., ADSB messages with RSSI > 3 dB) is larger than 6%, AutoGain will reduce the receiver's gain by 1 setting. Similarly, if the percentage of strong signals is smaller than 2.5%, AutoGain will increment the receiver's gain by 1 setting. When AutoGain changes the gain value, the readsb component of the container will restart. This may show as a disconnect / reconnected in container logs.

We recommend running the initial period during times when there are a lot of planes overhead, so the system will get a good initial view of what signals look like when traffic is at its peak for your location. If you forgot to do this for any reason, feel free to give the AutoGain reset command (see below) during flights busy hour.

Although not recommended, you can change the measurement intervals and low/high cutoffs with these parameters:

Environment Variable	Purpose	Default
READSB_AUTOGAIN_INITIAL_TIMEPERIOD	How long the Initial Time Period should last (in seconds)	7200
READSB_AUTOGAIN_INITIAL_INTERVAL	The measurement interval to optimize gain during the initial period of 90 minutes (in seconds)	300
READSB_AUTOGAIN_SUBSEQUENT_INTERVAL	The measurement interval to optimize gain during the subsequent period (in seconds)	86400
READSB_AUTOGAIN_LOW_PCT	If the percentage of "strong signals" (stronger than 3dBFS RSSI) is below this number, gain will be increased	2.5
READSB_AUTOGAIN_HIGH_PCT	If the percentage of "strong signals" (stronger than 3dBFS RSSI) is above this number, gain will be decreased	6.0

If you need to reset AutoGain and start over determining the gain, you can do so with this command:

docker exec -it ultrafeeder /usr/local/bin/autogain1090 reset

Connecting to external ADSB data sources

In addition to (or instead of) connecting to a SDR or hardware device to get ADSB data, the container also supports ingesting or sending data from a TCP port. Here are some parameters that you need to configure if you want to make this happen:

All-in-One Configuration using ULTRAFEEDER_CONFIG

ULTRAFEEDER_CONFIG is a new parameter that can be used instead of separately defining READSB_NET_CONNECTOR, MLAT_NET_CONNECTOR, MLATHUB_NET_CONNECTOR/MLATHUB_CONFIG. These legacy parameters will still work; however, we wanted to provide a single parameter that enables configuration of incoming and outgoing ADSB data, MLAT-client data, and MLATHUB data.

Note that ULTRAFEEDER_CONFIG and ULTRAFEEDER_NET_CONNECTOR can be used interchangeably; in this documentation, we'll use ULTRAFEEDER_CONFIG as an example.

ULTRAFEEDER_CONFIG syntax:

The ULTRAFEEDER_CONFIG parameter can have multiple config strings, separated by a ;. Please note that the config strings cannot contain ; or , -- undefined things may happen if these characters are present.

- ULTRAFEEDER_CONFIG=adsb,host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,extra-arguments]
...or...
- ULTRAFEEDER_CONFIG=mlat,host,port[,return_port][,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,extra-arguments]
...or to retrieve MLAT data from a remote receiver...
- ULTRAFEEDER_CONFIG=mlat,host,port[,return_port][,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,input_connect=remote-host:port,lat=xx.xxxx,lon=yy.yyyy,alt=zzz][,extra-arguments]
...or...
- ULTRAFEEDER_CONFIG=mlathub,host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,extra-arguments]

• To connect to an external ADSB (for input or output), UAT, or MLAT results source, use - ULTRAFEEDER_CONFIG=adsb,host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,extra-arguments]
• To connect and send data to an MLAT Server, use - ULTRAFEEDER_CONFIG=mlat,host,port[,return_port][,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,name=Friendly_Name-123][,input_connect=remote-host:port,lat=xx.xxxx,lon=yy.yyyy,alt=zzz][,extra-arguments]. For the optional parts in this structure, see MLAT configuration. Note - any MLAT results data received from the MLAT Server will automatically be aggregated in an MLAT Hub and shared with tar1090
• To add MLAT results from additional MLAT Servers not configured with Ultrafeeder (for example, MLAT results from FlightRadar24 or FlightAware/piaware), use - ULTRAFEEDER_CONFIG=mlathub,host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX][,extra-arguments]. You can further configure this MLAT Hub as described in the section Configuring the built-in MLAT Hub

In the above configuration strings:

• host is an IP address. Specify an IP/hostname/containername for incoming or outgoing connections.
• port and return_port are TCP port numbers
• protocol can be one of the following:
  • beast_reduce_out: Beast-format output with lower data throughput (saves bandwidth and CPU)
  • beast_reduce_plus_out: Beast-format output with extra data (UUID). This is the preferred format when feeding the "new" aggregator services
  • beast_out: Beast-format output
  • beast_in: Beast-format input
  • raw_out: Raw output
  • raw_in: Raw input
  • sbs_out: SBS-format output
  • vrs_out: SBS-format output
  • uat_in: "special" RAW format input as generated by the dump978 container on port 30978. It is advisable to use this protocol and port to get UAT data from dump978, for example: - ULTRAFEEDER_CONFIG=adsb,dump978,30978,uat_in
• uuid is a Universally Unique Identifier. You can reuse the one you generated for AdsbExchange, or you can generate a new one with this Linux command: cat /proc/sys/kernel/random/uuid. If omitted, it will use the UUID environment parameter, or if that one doesn't exist, it will leave the field empty.
• name is a friendly name (containing any character of the set [A-Za-z0-9_-] - do not use any spaces, quotes, or other non-alphanumeric characters!) that will be sent to the MLAT Server, used to identify the station by name. If omitted, it will use the MLAT_USER parameter, or if that one doesn't exist, it will leave the field empty.

Networking parameters

Environment Variable	Purpose	Default
BEASTHOST	IP/Hostname of a Mode-S/Beast provider (dump1090/readsb)
BEASTPORT	TCP port number of Mode-S/Beast provider (dump1090/readsb)	30005
MLATHOST	Legacy parameter. IP/Hostname of an MLAT provider (mlat-client). Note - using this parameter will not make the MLAT data part of the consolidated mlathub. The preferred way of ingesting MLAT results is using the mlathub functionality of the container, see below for details
MLATPORT	Legacy parameter used with MLATHOST. TCP port number of an MLAT provider (mlat-client)	30105

Feeding directly from Ultrafeeder

There are several aggregators, both non-profit and commercial, that can directly be sent data from ultrafeeder without the need for an additional feeder container. We have added them in the example docker-compose.yml snippet above. Here is a partial list of these aggregators. All of them use the beast_reduce_plus format for feeding ADSB data, and mlat-client for feeding MLAT:

Name	(C)ommercial/ (N)on-profit	Description	Feed details
Airplanes.live	N	Run by volunteers that used to be related to adsbexchange	adsb:feed.airplanes.live port 30004 mlat: feed.airplanes.live port 31090
ADSB.fi	N	Run by a private individual located in Finland. No longer associated with any former members of adsbexchange.	adsb:feed.adsb.fi port 30004 mlat: feed.adsb.fi port 31090
ADSB.lol	N	Run by a private individual located in the Netherlands	adsb:in.adsb.lol port 30004 mlat: in.adsb.lol port 31090
Planespotters	N	planespotters.net	adsb:feed.planespotters.net port 30004 mlat: mlat.planespotters.net port 31090
The Air Traffic	N	Run by a private individual	adsb:feed.theairtraffic.com port 30004 mlat: mlat.theairtraffic.com port 31090
AVDelphi	N	Aviation data-science company (non-profit)	adsb:data.avdelphi.com port 24999 mlat: no MLAT
ADSB Exchange	C	Large aggregator owned by JetNet	adsb:feed1.adsbexchange.com port 30004 mlat: feed.adsbexchange.com port 31090
RadarPlane	N	Run by a few volunteers in Canada and Portugal	adsb: feed.radarplane.com port 30001 mlat: feed.radarplane.com port 31090
Fly Italy ADSB	N	Run by a few ADSB enthusiasts in Italy	adsb: dati.flyitalyadsb.com port 4905 mlat: dati.flyitalyadsb.com port 30100

When feeding AdsbExchange, Ultrafeeder will send statistics to adsbexchange.com by default. See the description of the ADSBX_STATS parameter on how to disable this.

Alternate Configuration Method with READSB_NET_CONNECTOR

Instead of (or in addition to) using BEASTHOST, you can also define ADSB data ingests using the READSB_NET_CONNECTOR parameter. This is the preferred way if you have multiple sources or destinations for your ADSB data. This variable allows you to configure incoming and outgoing connections. The variable takes a semicolon (;) separated list of host,port,protocol[,uuid=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX], see the section All-in-One Configuration using ULTRAFEEDER_CONFIG for explanation of these parameters.

NOTE: If you have a UAT dongle and use dump978 to decode this, you should use READSB_NET_CONNECTOR to ingest UAT data from dump978. See example below

    environment:
    ...
      - READSB_NET_CONNECTOR=dump978,30978,uat_in;...
    ...

Optional Networking Parameters

There are many optional parameters relating to the ingestion of data and the general networking functioning of the readsb program that implements this functionality.

Variable	Description	Controls which readsb option	Default
READSB_NET_API_PORT	https://github.com/wiedehopf/readsb/blob/dev/README-json.md#--net-api-port-query-formats	--net-api-port=<ports>	30152
READSB_ENABLE_API	Adds nginx proxies api at /re-api. Use with extraargs --write-json-globe-index --tar1090-use-api to get fast map with many planes	various	disabled
READSB_NET_BEAST_REDUCE_INTERVAL	BeastReduce position update interval, longer means less data (valid range: 0.000 - 14.999)	--net-beast-reduce-interval=<seconds>	1.0
READSB_NET_BEAST_REDUCE_FILTER_DIST	Restrict beast-reduce output to aircraft in a radius of X nmi	--net-beast-reduce-filter-dist=<nmi>	Unset
READSB_NET_BEAST_REDUCE_FILTER_ALT	Restrict beast-reduce output to aircraft below X ft	--net-beast-reduce-filter-alt=<ft>	Unset
READSB_NET_BR_OPTIMIZE_FOR_MLAT	BeastReduce: Keep messages relevant to mlat-client	--net-beast-reduce-optimize-for-mlat	Unset
READSB_NET_BEAST_REDUCE_OUT_PORT	TCP BeastReduce output listen ports (comma separated)	--net-beast-reduce-out-port=<ports>	Unset
READSB_NET_BEAST_INPUT_PORT	TCP Beast input listen ports	--net-bi-port=<ports>	30004,30104
READSB_NET_BEAST_OUTPUT_PORT	TCP Beast output listen ports	--net-bo-port=<ports>	30005
READSB_NET_BUFFER	TCP buffer size 64Kb * (2^n)	--net-buffer=<n>	2 (256Kb)
READSB_NET_RAW_OUTPUT_INTERVAL	TCP output flush interval in seconds (maximum output buffer delay).	--net-ro-interval=<seconds>	0.05
READSB_NET_RO_INTERVAL_BEAST_REDUCE	TCP output flush interval in seconds for beast reduce outputs (maximum output buffer delay).	`--net-ro-interval-beast-reduce=	0.12
READSB_NET_RAW_OUTPUT_SIZE	TCP output flush size (maximum amount of internally buffered data before writing to network).	--net-ro-size=<size>	1280
READSB_NET_CONNECTOR_DELAY	Outbound re-connection delay.	--net-connector-delay=<seconds>	30
READSB_NET_HEARTBEAT	TCP heartbeat rate in seconds (0 to disable).	--net-heartbeat=<rate>	35
READSB_NET_RAW_INPUT_PORT	TCP raw input listen ports.	--net-ri-port=<ports>	30001
READSB_NET_RAW_OUTPUT_PORT	TCP raw output listen ports.	--net-ro-port=<ports>	30002
READSB_NET_SBS_INPUT_PORT	TCP BaseStation input listen ports.	--net-sbs-in-port=<ports>	Unset
READSB_NET_SBS_OUTPUT_PORT	TCP BaseStation output listen ports.	--net-sbs-port=<ports>	30003
READSB_NET_SBS_DISABLE_REDUCE	Disable application of "reduce" logic to SBS/BaseStation output. (By default, this is enabled)	--net-sbs-reduce	Unset
REASSB_NET_VERBATIM	Set this to true to forward messages unchanged.	--net-verbatim	Unset
READSB_NET_VRS_PORT	TCP VRS JSON output listen ports.	--net-vrs-port=<ports>	Unset
READSB_WRITE_STATE_ONLY_ON_EXIT	if set to anything, it will only write the status range outlines, etc. upon termination of readsb	--write-state-only-on-exit	Unset
READSB_JSON_INTERVAL	Update interval for the webinterface in seconds / interval between aircraft.json writes	--write-json-every=<sec>	1.0
READSB_JSON_TRACE_INTERVAL	Per plane interval for json position output and trace interval for globe history	--json-trace-interval=<sec>	15
READSB_FORWARD_MLAT_SBS	If set to anything, it will include MLAT results in the SBS/BaseStation output. This may be desirable if you feed SBS data to applications like VRS or PlaneFence	--forward_mlat_sms	Unset
UUID	Sets the UUID that is sent on the beast_reduce_plus port if no individual UUIDs have been defined with the READSB_NET_CONNECTOR parameter. Similarly, it's also used with mlat-client (see below) if no individual UUIDs have been set with the MLAT_CONFIG parameter.		Unset
ADSBX_STATS	If set to disabled/off/0/no, and feeding to AdsbExchange has been configured, no special statistics will be shared with AdsbExchange. If unset or set to enabled/on/1/yes, statistics will be shared with AdsbExchange if they are configured as an aggregator		Unset

MLAT configuration

The Ultrafeeder contains a capability to send MLAT data to MLAT servers to be processed, and to receive the MLAT results and integrate those with an MLAT Hub and the tar1090 map. It will create a separate instance of mlat-client for each defined MLAT server. The parameters for these mlat-client instances is as follows:

    environment:
    ...
      - ULTRAFEEDERCONFIG=
           ...
           mlat,mlat-server1.com,port1,return_port1,uuid=1234-5678-90123,inputconnect=remote_receiver1:30005,lat=12.3456,lon=45.6789,alt=18m,--arg1 hello --arg2 world;
           mlat,mlat-server2.com,port2,return_port2,uuid=5678-9012-34567,inputconnect=remote_receiver2:30005,-lat=12.3456,lon=45.6789,alt=18m,--arg1 hello-again --arg2 universe
    ...
      - MLAT_USER=some_friendly_user_name_using_only_alphanumeric_characters_without_spaces_or_quotes

where:

Parameter	Mandatory/Optional	Description
mlat	Mandatory	indicates that the line container MLAT-client configuration parameters
mlat-server.com	Mandatory	the domain name or ip address of the target MLAT server
port	Mandatory	the port (TCP or UDP) of the target MLAT server
return_port	Optional	the port at which the MLAT results are made available in BEAST format. We recommend to sequentially number them starting at 39000
uuid	Optional	a unique user ID for this MLAT server instance. If included, the string must start with uuid=. If not included, it will use the value of the UUID parameter if it exists
input_connect	Optional	a unique input connection in the form input_connect=remotehost:port, where remotehost: is the hostname or IP address and TCP port of your remote BEAST source. This can be used to connect to a remote Beast source and forward MLAT data to an MLAT server
lat	Optional	the latitude to be sent to the MLAT server in the form lat=xx.xxxxx. If omitted, the LAT / READSB_LAT parameter will be used. This is meant to be used in combination with input_connect for connecting to a remote Beast source and forward MLAT data to an MLAT server
lon	Optional	the longitude to be sent to the MLAT server in the form lon=xx.xxxxx. If omitted, the LONG / READSB_LON parameter will be used. This is meant to be used in combination with input_connect for connecting to a remote Beast source and forward MLAT data to an MLAT server
alt	Optional	the altitude to be sent to the MLAT server in the form alt=xx.xxxxx. If omitted, the ALT / READSB_ALT parameter will be used. This is meant to be used in combination with input_connect for connecting to a remote Beast source and forward MLAT data to an MLAT server
extra-arguments	Optional	Any extra parameter you want to pass to the mlat-client program. Will be added verbatim to the command line

Note - the optional parameters can be given in any order.

The MLAT_USER parameter is passed to the MLAT Client and server, and will show up as a "friendly" name on MLAT related stats at your MLAT aggregator. This parameter can only contain alphanumeric (a-z, A-Z, 0-9) characters, dashes (-), or underscores (_).

Configuring the built-in MLAT Hub

An "MLAT Hub" is an aggregator of MLAT results from several sources. Since the container is capable of sending MLAT data to multiple ADSB aggregators (like adsb.lol/fi/one, etc), we built in a capability to:

• collect the MLAT results from all of these services
• ingest MLAT results from other containers (FlightAware, Radarbox, etc.)
• make the consolidated MLAT results available on a port in Beast or SBS (BaseStation) format
• create outbound connections using any supported format to send your Beast data wherever you want

Note - due to design limitations of readsb, the tar1090 graphical interface will by default ONLY show MLAT results from the aggregators/MLAT sources that were defined with the MLAT_NET_CONNECTOR or ULTRAFEEDER_CONFIG=mlat,... parameters. If you want to show any MLAT results from sources that have their own feeder containers (for example, those from piaware), you should add these sources like this:

   - ULTRAFEEDER_CONFIG=mlathub,host,port,protocol;

Where:

• host is the hostname where the MLAT results are coming from. This can be another container name (e.g., piaware) or the IP address of your machine on which mlat-client is running. Note -- this is NOT the hostname or IP of the MLAT Server or aggregator that processes the MLAT data
• port is the port on which the mlat-client on the host makes its results available
• protocol is the output protocol which is almost always beast_in

For example:

   - ULTRAFEEDER_CONFIG=mlathub,piaware,30105,beast_in;

Generally, there is little else to configure, but there are a few parameters that you can set or change:

Variable	Description	Default if omitted
MLATHUB_SBS_OUT_PORT	TCP port where the consolidated MLAT results will be available in SBS (BaseStation) format	31003
MLATHUB_BEAST_IN_PORT	TCP port you where you can send additional MLAT results to, in Beast format	31004
MLATHUB_BEAST_OUT_PORT	TCP port where consolidated MLAT results will be available in Beast format	31005
MLATHUB_BEAST_REDUCE_OUT_PORT	TCP port where consolidated MLAT results will be available in Beast format with reduced data rates	31006
MLATHUB_NET_CONNECTOR	(Obsolete, please use ULTRAFEEDER_CONFIG=mlathub,... instead.) List of semi-colon (;) separated IP or host, port, and protocols where MLATHUB will connect to ingest or send MLAT data. It follows the same syntax as described in the READSB_NET_CONNECTOR syntax section above	Unset
MLATHUB_DISABLE	If set to true, the MLATHUB will be disabled even if there are mlat-clients running in the container	Unset

Web Gui (tar1090) Configuration

The Container creates an interactive web interface displaying the aircraft, based on Wiedehopf's widely used tar1090 software.

The web interface is rendered to port 80 in the container. This can me mapped to a port on the host using the docker-compose ports directive.

All of the variables below are optional.

Note - due to design limitations of readsb, the tar1090 graphical interface will by default ONLY show MLAT results from the aggregators/MLAT sources that were defined with the MLAT_NET_CONNECTOR parameter. If you want to show any additional MLAT results (for example, those from piaware), you should add a separate READSB_NET_CONNECTOR entry for them.

tar1090 Core Configuration

Environment Variable	Purpose	Default
READSB_JSON_INTERVAL	Update data update interval for the webinterface in seconds	1.0
UPDATE_TAR1090	At startup update tar1090 and tar1090db to the latest versions	true
INTERVAL	Interval at which the track history is saved	8
HISTORY_SIZE	How many points in time are stored in the track history	450
ENABLE_978	Change to yes to enable UAT/978 display in tar1090. This will also enable UAT-specific graphs in graphs1090	no
URL_978	The URL needs to point at where you would normally find the skyview978 webinterface, for example http://192.168.0.29/skyaware978. Note -- do not use localhost or `127.0.0.1
GZIP_LVL	1-9 are valid, lower lvl: less CPU usage, higher level: less network bandwidth used when loading the page	3
PTRACKS	Shows the last $PTRACKS hours of traces you have seen at the ?pTracks URL	8
TAR1090_FLIGHTAWARELINKS	Set to true to enable FlightAware links in the web interface	null
TAR1090_ENABLE_AC_DB	Set to true to enable extra information, such as aircraft type and registration, to be included in in aircraft.json output. Will use more memory; use caution on older Pis or similar devices.	false
HEYWHATSTHAT_PANORAMA_ID	Your heywhatsthat.com panorama ID. See https://github.com/wiedehopf/tar1090#heywhatsthatcom-range-outline
HEYWHATSTHAT_ALTS	Comma separated altitudes for multiple outlines. Use no units or ft for feet, m for meters, or km for kilometers. Only integer numbers are accepted, no decimals please	12192m (=40000 ft)
HTTP_ACCESS_LOG	Optional. Set to true to display HTTP server access logs.	false
HTTP_ERROR_LOG	Optional. Set to false to hide HTTP server error logs.	true
TAR1090_IMAGE_CONFIG_LINK	An optional URL shown at the top of page, designed to be used for a link back to a configuration page. The token HOSTNAME in the link is replaced with the current host that tar1090 is accessed on.	null
TAR1090_IMAGE_CONFIG_TEXT	Text to display for the config link	null
TAR1090_DISABLE	Set to true to disable the web server and all websites (including the map, graphs1090, heatmap, pTracks, etc.)	Unset
READSB_ENABLE_HEATMAP	Set to true or leave unset to enable the HeatMap function available at http://myip/?Heatmap; set to false to disable the HeapMap function	true (enabled)
TAR1090_AISCATCHER_SERVER	If you want to show vessels from your AIS-Catcher instance on the map, put the (externally reachable) URL of your AIS-Catcher or ShipFeeder website in this parameter (incl. https://). Note - if you are using "barebones" AIS-Catcher you should add GEOJSON on after the -N parameter on the AIS-Catcher command line. If you use docker-shipfeeder, no change is needed for that container	Empty
TAR1090_AISCATCHER_REFRESH	Refresh rate (in seconds) of reading vessels from your AIS-Catcher instance. Defaults to 15 (secs) if omitted	15

• For documentation on the aircraft.json format see this page: https://github.com/wiedehopf/readsb/blob/dev/README-json.md
• TAR1090_ENABLE_AC_DB causes readsb to load the tar1090 database as a csv file from this repository: https://github.com/wiedehopf/tar1090-db/tree/csv

tar1090 config.js Configuration - Title

Environment Variable	Purpose	Default
TAR1090_PAGETITLE	Set the tar1090 web page title	tar1090
TAR1090_PLANECOUNTINTITLE	Show number of aircraft in the page title	false
TAR1090_MESSAGERATEINTITLE	Show number of messages per second in the page title	false

tar1090 config.js Configuration - Output

Environment Variable	Purpose	Default
TAR1090_DISPLAYUNITS	The DisplayUnits setting controls whether nautical (ft, NM, knots), metric (m, km, km/h) or imperial (ft, mi, mph) units are used in the plane table and in the detailed plane info. Valid values are "nautical", "metric", or "imperial".	nautical

tar1090 config.js Configuration - Map Settings

Environment Variable	Purpose	Default
TAR1090_BINGMAPSAPIKEY	Provide a Bing Maps API key to enable the Bing imagery layer. You can obtain a free key (with usage limits) at https://www.bingmapsportal.com/ (you need a "basic key").	null
TAR1090_DEFAULTCENTERLAT	Default center (latitude) of the map. This setting is overridden by any position information provided by dump1090/readsb. All positions are in decimal degrees.	45.0
TAR1090_DEFAULTCENTERLON	Default center (longitude) of the map. This setting is overridden by any position information provided by dump1090/readsb. All positions are in decimal degrees.	9.0
TAR1090_DEFAULTZOOMLVL	The google maps zoom level, 0 - 16, lower is further out.	7
TAR1090_SITESHOW	Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Set to true to show a center marker.	false
TAR1090_SITELAT	Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Position of the marker (latitude).	45.0
TAR1090_SITELON	Center marker. If dump1090 provides a receiver location, that location is used and these settings are ignored. Position of the marker (longitude).	9.0
TAR1090_SITENAME	The tooltip of the center marker.	My Radar Site
TAR1090_RANGE_OUTLINE_COLOR	Colour for the range outline.	#0000DD
TAR1090_RANGE_OUTLINE_WIDTH	Width for the range outline.	1.7
TAR1090_RANGE_OUTLINE_COLORED_BY_ALTITUDE	Range outline is coloured by altitude.	false
TAR1090_RANGE_OUTLINE_DASH	Range outline dashing. Syntax [L, S] where L is the pixel length of the line, and S is the pixel length of the space.	Unset
TAR1090_ACTUAL_RANGE_OUTLINE_COLOR	Colour for the actual range outline	#00596b
TAR1090_ACTUAL_RANGE_OUTLINE_WIDTH	Width of the actual range outline	1.7
TAR1090_ACTUAL_RANGE_OUTLINE_DASH	Dashed style for the actual range outline. Unset for solid line. [5,5] for a dashed line with 5 pixel lines and spaces in between	Unset
TAR1090_MAPTYPE_TAR1090	Which map is displayed to new visitors. Valid values for this setting are osm, esri, carto_light_all, carto_light_nolabels, carto_dark_all, carto_dark_nolabels, gibs, osm_adsbx, chartbundle_sec, chartbundle_tac, chartbundle_hel, chartbundle_enrl, chartbundle_enra, chartbundle_enrh, and only with bing key bing_aerial, bing_roads.	carto_light_all
TAR1090_MAPDIM	Default map dim state, true or false.	true
TAR1090_MAPDIMPERCENTAGE	The percentage amount of dimming used if the map is dimmed, 0-1	0.45
TAR1090_MAPCONTRASTPERCENTAGE	The percentage amount of contrast used if the map is dimmed, 0-1	0
TAR1090_DWDLAYERS	Various map layers provided by the DWD geoserver can be added here. Preview and available layers. Multiple layers are also possible. Syntax: dwd:layer1,dwd:layer2,dwd:layer3	dwd:RX-Produkt
TAR1090_LABELZOOM	Displays aircraft labels only until this zoom level, 1-15 (values >15 don't really make sense)
TAR1090_LABELZOOMGROUND	Displays ground traffic labels only until this zoom level, 1-15 (values >15 don't really make sense)

tar1090 config.js Configuration - Range Rings

Environment Variable	Purpose	Default
TAR1090_RANGERINGS	false to hide range rings	true
TAR1090_RANGERINGSDISTANCES	Distances to display range rings, in miles, nautical miles, or km (depending settings value 'TAR1090_DISPLAYUNITS'). Accepts a comma separated list of numbers (no spaces, no quotes).	100,150,200,250
TAR1090_RANGERINGSCOLORS	Colours for each of the range rings specified in TAR1090_RANGERINGSDISTANCES. Accepts a comma separated list of hex colour values, each enclosed in single quotes (e.g., TAR1090_RANGERINGSCOLORS='#FFFFF','#00000'). No spaces.	Unset
TAR1090_ENABLE_ACTUALRANGE	Set to true or leave unset to enable the outline of the actual range of your station on the map; set to false to disable the this outline	true (enabled)

tar1090 config.js Configuration - Expert

Environment Variable	Purpose	Default
TAR1090_CONFIGJS_APPEND	Append arbitrary javascript code to config.js	Unset

• In case a setting is available in tar1090 but not exposed via environment variable for this container
• For a list of possible settings, see https://github.com/wiedehopf/tar1090/blob/master/html/config.js
• Incorrect syntax or any capitalization errors will cause the map to not load, you have been warned!
• Example: TAR1090_CONFIGJS_APPEND= MapDim=false; nexradOpacity=0.2;
• In the environment section of a compose file you can generally use multiple lines like this:

    environment:
    ...
      - TAR1090_CONFIGJS_APPEND=
        MapDim=false;
        nexradOpacity=0.2;
    ...

tar1090 config.js Configuration - Route Display

Environment Variable	Purpose	Default
TAR1090_USEROUTEAPI	Set to true to enable route lookup for callsigns	Unset
TAR1090_ROUTEAPIURL	API URL used	https://api.adsb.lol/api/0/routeset

graphs1090 Configuration

graphs1090 Environment Parameters

Variable	Description	Default
GRAPHS1090_DARKMODE	If set to true, graphs1090 will be rendered in "dark mode".	Unset
GRAPHS1090_RRD_STEP	Interval in seconds to feed data into RRD files.	60
GRAPHS1090_SIZE	Set graph size, possible values: small, default, large, huge, custom.	default
GRAPHS1090_ALL_LARGE	Make the small graphs as large as the big ones by setting to yes.	no
GRAPHS1090_FONT_SIZE	Font size (relative to graph size).	10.0
GRAPHS1090_MAX_MESSAGES_LINE	Set to true to draw a reference line at the maximum message rate.	Unset
GRAPHS1090_LARGE_WIDTH	Defines the width of the larger graphs.	1096
GRAPHS1090_LARGE_HEIGHT	Defines the height of the larger graphs.	235
GRAPHS1090_SMALL_WIDTH	Defines the width of the smaller graphs.	619
GRAPHS1090_SMALL_HEIGHT	Defines the height of the smaller graphs.	324
GRAPHS1090_DISK_DEVICE	Defines which disk device (mmc0, sda, sdc, etc) is shown. Leave empty for default device	Unset
GRAPHS1090_ETHERNET_DEVICE	Defines which (wired) ethernet device (eth0, enp0s, etc) is shown. Leave empty for default device	Unset
GRAPHS1090_WIFI_DEVICE	Defines which (wireless) WiFi device (wlan0, wlp3s0, etc) is shown. Leave empty for default device	Unset
GRAPHS1090_DISABLE	Set to true to disable the entire GRAPHS1090 web page and associated data collection	Unset
GRAPHS1090_DISABLE_CHART_CPU	Set to true to disable the GRAPHS1090 CPU chart	Unset
GRAPHS1090_DISABLE_CHART_TEMP	Set to true to disable the GRAPHS1090 Temperature chart	Unset
GRAPHS1090_DISABLE_CHART_MEMORY	Set to true to disable the GRAPHS1090 Memory Utilization chart	Unset
GRAPHS1090_DISABLE_CHART_NETWORK_BANDWIDTH	Set to true to disable the GRAPHS1090 Network Bandwidth chart	Unset
GRAPHS1090_DISABLE_CHART_DISK_USAGE	Set to true to disable the GRAPHS1090 Disk Usage chart	Unset
GRAPHS1090_DISABLE_CHART_DISK_IOPS	Set to true to disable the GRAPHS1090 Disk IOPS chart	Unset
GRAPHS1090_DISABLE_CHART_DISK_BANDWIDTH	Set to true to disable the GRAPHS1090 Disk Bandwidth chart	Unset
ENABLE_AIRSPY	Optional, set to any non-empty value if you want to enable the special AirSpy graphs. See below for additional configuration requirements	Unset

Enabling UAT data

ADS-B over UAT data is transmitted in the 978 MHz band, and this is used in the USA only. To display the corresponding graphs, you should:

1. Set the following environment parameters:

- URL_978=http://dump978/skyaware978

2. Install the docker-dump978 container. Note - only containers downloaded/deployed on/after Feb 8, 2023 will work.

Note that you must configure URL_978 to point at a working skyaware978 website with aircraft.json data feed. This means that the URL http://dump978/skyaware978/data/aircraft.json must return valid JSON data to this tar1090 container.

Enabling AirSpy graphs

Users of AirSpy devices can enable extra graphs1090 graphs by configuring the following:

• Set the following environment parameter:

      - ENABLE_AIRSPY=yes

• To provide the container access to the AirSpy statistics, map a volume in your docker-compose.yml file as follows:

    volumes:
      - /run/airspy_adsb:/run/airspy_adsb
      ...

Enabling Disk IO and IOPS data

To allow the container access to the Disk IO data, you should map the following volume:

    volumes:
      - /proc/diskstats:/proc/diskstats:ro
      ...

Configuring the Core Temperature graphs

By default, the system will use the temperature available at Thermal Zone 0. This generally works well on Raspberry Pi devices, and no additional changes are needed.

On different devices, the Core Temperature is mapped to a different Thermal Zone. To ensure the Core Temperature graph works, follow these steps

First check out which Thermal Zone contains the temperature you want to monitor. On your host system, do this:

for i in /sys/class/thermal/thermal_zone* ; do echo "$i - $(cat ${i}/type) - $(cat ${i}/temp 2>/dev/null)"; done

Something similar to this will be show:

/sys/class/thermal/thermal_zone0 - acpitz - 25000
/sys/class/thermal/thermal_zone1 - INT3400 Thermal - 20000
/sys/class/thermal/thermal_zone2 - TSKN - 43050
/sys/class/thermal/thermal_zone3 - NGFF - 32050
/sys/class/thermal/thermal_zone4 - TMEM - 39050
/sys/class/thermal/thermal_zone5 - pch_skylake - 40500
/sys/class/thermal/thermal_zone6 - B0D4 - 54050
/sys/class/thermal/thermal_zone7 - iwlwifi_1 -
/sys/class/thermal/thermal_zone8 - x86_pkg_temp - 57000

Repeat this a few times to ensure that the temperature varies and isn't hardcoded to a value. In our case, either Thermal Zone 5 (pch_skylake is the Intel Core name) or Thermal Zone 8 (the temp of the entire SOC package) can be used. Once you have determined which Thermal Zone number you want to use, map it to a volume like this. Make sure that the part to the left of the first : reflects your Thermal Zone directory; the part to the right of the first : should always be /sys/class/thermal/thermal_zone0:ro.

Note that you will have to add - privileged: true capabilities to the container. This is less than ideal as it will give the container access to all of your system devices and processes. Make sure you feel comfortable with this before you do this.

    privileged: true
    volumes:
      - /sys/class/thermal/thermal_zone8:/sys/class/thermal/thermal_zone0:ro
      ...

Note - on some systems (DietPi comes to mind), /sys/class/thermal/ may not be available.

Reducing Disk IO for Graphs1090

Note - this feature is still somewhat experimental. If you are really attached to your statistics/graphs1090 data, please make sure to back up your mapped drives regularly

If you are using a Raspberry Pi or another type of computer with an SD card, you may already be aware that these SD cards have a limited number of write-cycles that will determine their lifespan. In other words - a common reason for SD card failure is excessive writes to it.

By the nature of having to log lots of data the graphs1090 functionality writes a lot to the SD card. To reduce the number of write cycles, there are a few parameters you can set.

Enabling this functionality will cause graphs1090 to temporarily write all data to volatile memory (/run) instead of persistent disk space (/var/lib/collectd). This data is backed up to persistent disk space in regular intervals and upon (graceful) shutdown of the container.

Note -- there is a chance that the data isn't written back in time (due to power failures, non-graceful container shutdowns, etc), in which case you may lose statistics data that has been generated since the last write-back.

The feature assumes that you have mapped /var/lib/collectd to a volume (to ensure data is persistent across container recreations), and /run as a tmpfs RAM disk, as shown below and also as per the docker-compose.yml example:

    volumes:
      - /opt/adsb/ultrafeeder/globe_history:/var/globe_history
...
    tmpfs:
      - /run:exec,size=256M
...

Environment Variable	Purpose	Default
GRAPHS1090_REDUCE_IO=	Optional Set to true to reduce the write cycles for graphs1090	Unset
GRAPHS1090_REDUCE_IO_FLUSH_IVAL	Interval (in secs) over which the graphs1090 data is written back to non-volatile storage	3600

timelapse1090 Configuration

Legacy: We recommend AGAINST enabling this feature as it has been replaced with http://dockerhost:port/?replay. timelapse1090 writes a lot of data to disk, which could shorten the lifespan of your Raspiberry Pi SD card. The replacement functionality is better and doesn't cause any additional disk writes.

Environment Variable	Purpose	Default
ENABLE_TIMELAPSE1090	Optional / Legacy. Set to true to enable timelapse1090. Once enabled, can be accessed via http://dockerhost:port/timelapse/	Unset
TIMELAPSE1090_INTERVAL	Snapshot interval in seconds	10
TIMELAPSE1090_HISTORY	Time saved in hours	24

Updating your location with GPSD

This feature enables you to deploy Ultrafeeder while you are moving around. It will read your current longitude/latitude/altitude from a GPS unit that is connected to gpsd on your host system, and ensure that the map will show your current location. It will also restart any mlat-client instances once it detects that you moved from your previous location.

Basic Installation and Configuration of your GPS hardware and gpsd drivers

The simplest way of getting this to work is to acquire a "VK163" USB GPS "Mouse", similar to the one in the link. You can connect this mouse to any USB port on your machine.

For this to work, you should install and configure GPSD to work on your host machine. The DEVICES parameter is probably correct as shown below, but you may want to double-check that data is received on that device (cat /dev/ttyACM0) and adjust it if needed:

sudo apt update && sudo apt install -y gpsd
cat < EOM | sudo tee /etc/default/gpsd
# Devices gpsd should collect to at boot time.
# They need to be read/writeable, either by user gpsd or the group dialout.
DEVICES="/dev/ttyACM0"
# Other options you want to pass to gpsd
GPSD_OPTIONS="-G"
# Automatically hot add/remove USB GPS devices via gpsdctl
USBAUTO="true"
EOM
cat < EOM | sudo tee /lib/systemd/system/gpsd.socket
[Unit]
Description=GPS (Global Positioning System) Daemon Sockets

[Socket]
ListenStream=/run/gpsd.sock
ListenStream=[::]:2947
ListenStream=0.0.0.0:2947
SocketMode=0600
BindIPv6Only=yes

[Install]
WantedBy=sockets.target
EOM
sudo systemctl daemon-reload
sudo systemctl restart gpsd gpsd.socket

Then, you can add the following values to ultrafeeder service settings in docker-compose.yml:

services:
...
  ultrafeeder:
    ...
    extra_hosts:
      - "host.docker.internal:host-gateway"
    ...
    environment:
      ULTRAFEEDER-CONFIG=
        gpsd,host.docker.internal,2947;
    ...

Finally, restart the container with docker compose up -d

This will:

• install and configure gpsd (/etc/default/gpsd) so it makes GPS data available on the default TCP port 2947 of your host system
• configure the ultrafeeder docker container to read GPSD data
• configure the ultrafeeder container so the hostname host.docker.internal always resolves to the IP address of the underlying machine (where gpsd is running)

Optional parameters regulating the restart of mlat-client when the location changes

The following parameters are all optional and are subject to change. You don't need to set them unless you want to change the default behavior:

Environment Variable	Purpose	Default
GPSD_MIN_DISTANCE	Distance (in meters) that your station must move before it's considered moving (maximum 40 meters)	20 (meters)
GPSD_MLAT_WAIT	The wait period (in seconds) your station must be stationary before mlat is started (minimum 90 seconds)	90 (seconds)
GPSD_CHECK_INTERVAL	How often the container checks for updated location information. (minimum 5 seconds)	30 (seconds)

Web Pages

If you have configured the container as described above, you should be able to browse to the following web pages: You should now be able to browse to:

• http://dockerhost/ to access the tar1090 web interface.
• http://dockerhost/?replay to see a replay of past data
• http://dockerhost/?heatmap to see the heatmap for the past 24 hours
• http://dockerhost/?heatmap&realHeat to see a different heatmap for the past 24 hours
• http://dockerhost/?pTracks to see the tracks of all planes for the past 24 hours
• http://dockerhost/graphs1090/ to see performance graphs

Paths

No paths need to be mapped through to persistent storage. However, if you don't want to lose your range outline and aircraft tracks/history and heatmap / replay data on container restart, you can optionally map these paths:

Path	Purpose
/opt/adsb/ultrafeeder/globe_history:/var/globe_history	Holds range outline data, heatmap / replay data and traces if enabled. Note: this data won't be automatically deleted, you will need to delete it eventually if you map this path.
/opt/adsb/ultrafeeder/timelapse1090:/var/timelapse1090	Holds timelapse1090 data if enabled. (We recommend against enabling this feature, see above)
/opt/adsb/ultrafeeder/collectd:/var/lib/collectd	Holds graphs1090 & performance data
/proc/diskstats:/proc/diskstats:ro	Makes disk statistics available to graphs1090
/sys/class/thermal/thermal_zone8:/sys/class/thermal/thermal_zone0:ro	Only needed on some systems to display the CPU temperature in graphs1090, see here

Display of Metrix with Grafana and Prometheus/InfluxDB

When using the :telegraf tag, the image contains Telegraf, which can be used to capture metrics from ultrafeeder if an output is enabled.

See README-grafana.md for detailed instruction on how to configure this.

NOTE - READ CAREFULLY: As of 27 April 2023, the latest image no longer contains Telegraf. If you want to send metrics to InfluxDB or Prometheus, please use this image:

services:
  tar1090:
    image: ghcr.io/sdr-enthusiasts/docker-tar1090:telegraf
  ...

Configuring Grafana

Please see the separate instruction document for step by step instructions on how to set up and configure a Grafana Dashboard with Prometheus. The sections below are provided as a reference.

Output from Ultrafeeder to Prometheus

In order for Telegraf to serve a Prometheus endpoint, the following environment variables can be used:

Variable	Description
PROMETHEUS_ENABLE	Set to true for a Prometheus endpoint on http://0.0.0.0:9273/metrics
PROMETHEUSPORT	TCP port for the Prometheus endpoint. Default value is 9273

Output from Ultrafeeder to InfluxDBv2

In order for Telegraf to output metrics to an InfluxDBv2 time-series database, the following environment variables can be used:

Variable	Description
INFLUXDBV2_URL	The URL of the InfluxDB instance
INFLUXDBV2_TOKEN	The token for authentication
INFLUXDBV2_BUCKET	Destination bucket to write into
INFLUXDBV2_ORG	InfluxDB Organization to write into

Message decoding introspection

You can look at individual messages and what information they contain, either for all or for an individual aircraft by hex:

# only for hex 3D3ED0
docker exec -it ultrafeeder /usr/local/bin/viewadsb --show-only 3D3ED0

# for all aircraft
docker exec -it ultrafeeder /usr/local/bin/viewadsb --no-interactive

# show position / CPR debugging for hex 3D3ED0
docker exec -it ultrafeeder /usr/local/bin/viewadsb --cpr-focus 3D3ED0

Minimalist setup

If you want to use ultrafeeder only as a SDR decoder but without any mapping or stats/graph websites, without MLAT connections or MLAT-hub, etc., for example to minimize CPU and RAM needs on a low CPU/memory single board computer, then do the following:

• in the ULTRAFEEDER_CONFIG parameter, remove any entry that starts with mlat or mlathub. This will prevent any mlat-clients or mlathub instances to be launched. If you still want to connect the mlat-client(s) to external MLAT servers but you don't want to run the overhead of a MLATHUB, you can leave any entries starting with mlat in the ULTRAFEEDER_CONFIG parameter, and set MLATHUB_DISABLE=true
• Set the parameter TAR1090_DISABLE=true. This will prevent the nginx webserver and any websites to be launched and no collectd (graphs1090) or rrd (ADSB message history) data to be collected or retained.
• Make sure to use ghcr.io/sdr-enthusiasts/docker-adsb-ultrafeeder:latest and specifically NOT the ghcr.io/sdr-enthusiasts/docker-adsb-ultrafeeder:telegraf label as Telegraf adds a LOT of resource use to the container

Logging

All logs are to the container's stdout and can be viewed with docker logs -t [-f] container.

Getting help

Please feel free to open an issue on the project's GitHub.

We also have a Discord channel, feel free to join and converse.

License and Trademarks

GPLv3 License

Copyright (C) 2023-2024, Ramon F. Kolb kx1t, and other contributors

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Trademarks

• ultrafeeder, Ultrafeeder, docker-adsb-ultrafeeder are Trademarks owned by Ramon F. Kolb and the SDR-Enthusiasts organization
• SDR-Enthusiasts and SDR-E are a Trademark owned by the SDR-Enthusiasts organization
• Other terms are trademarks of their respective owners

Acknowledgements

• The SDR-Enthusiasts team (Mike Nye, Fred Clausen) for all the foot and leg work done to create the base images on which the container is built
• Wiedehopf for modifying, creating, maintaining, and adding features to many of the components of this container including readsb, tar1090, graphs1090, autogain, and many more components, and for helping debug the container whenever the need arose
• John Norrbin for his ideas, testing, feature requests, more testing, nagging, pushing, prodding, and overall efforts to make this a high quality container and for the USB "hotplug" configuration
• The community at the SDR-Enthusiasts Discord Server for helping out, testing, asking questions, and generally driving to make this a better product
• Of course the Open Source community at large, including Salvatore Sanfilippo and Oliver Jowett who wrote the excellent base code for dump1090 from which much of this package is derived