Guide to aircraft tracking using ADS-B reception with SDR and docker containers. Published on GitBook.

Github: https://github.com/sdr-enthusiasts/gitbook-adsb-guide

Trunk Recorder is able to record the calls on trunked and conventional radio systems. It uses 1 or more Software Defined Radios (SDRs) to do this. The SDRs capture large swathes of RF and then use software to process what was received. GNURadio is used to do this processing because it provides lots of convenient RF blocks that can be pieced together to allow for complex RF processing. The libraries from the amazing OP25 project are used for a lot of the P25 functionality. Multiple radio systems can be recorded at the same time.

Trunk Recorder currently supports the following:

• Trunked P25 & SmartNet Systems
• Conventional P25 & analog systems, where each group has a dedicated RF channel
• P25 Phase 1, P25 Phase 2 & Analog voice channels

SDRs supported

• RTL-SDR dongles
• HackRF
• Ettus USRP B200, B210, B205
• BladeRF
• Airspy

Turbine is the SDR software for NoraSector. It's designed to capture and stream all frequencies in a trunked radio system. It is capable of decoding multiple systems concurrently, even different system types, provided they all fall within the same sample bandwidth generated by the radio and there's enough CPU available.

It's built with the expectation that it uses a single SDR that is able to capture the bandwidth containing all frequencies in the system.

All audio is encoded using the Opus codec for compatibility with WebRTC and output over UDP.

Designed for big-bore SDRs, like the HackRF. You won't get an RTL-SDR working with this (even though I tagged it with that to make it easier to find).

Virgo is an easy-to-use open-source spectrometer and radiometer based on Python and GNU Radio (GR) that is conveniently applicable to any radio telescope working with a GR-supported software-defined radio (SDR). In addition to data acquisition, Virgo also carries out automated analysis of the recorded samples, producing an averaged spectrum, a calibrated spectrum, a dynamic spectrum (waterfall), a time series (power vs time) and a total power distribution plot.

Lastly, an important set of utilities is provided to observers, making the package for a great tool for planning (radio) observations, estimating the system sensitivity of an instrument, and many more.

Radio equipment dealer. Personal and business-related radio equipment for sale, new. Also, shortwave receivers, scanners, software-defined radios, radio accessories and stuff for kids.

Charles Grassin

I am a young systems engineer in Paris, recently graduated in embedded systems. Electronics and code being my passions, I enjoy working on innovative open-source/hardware projects.

Dual language site - english and french.

This non-interactive application allows automatic reporting of WSPR spots on WSPRnet. The idea is to allow the use of small computer like RaspberryPi or Beaglebone boards, with a simple daemon. This kind of very lightweight setup could run continuously without maintenance and help to increase the WSPR network. The code is massively based on Steven Franke (K9AN) implementation and Joe Taylor (K1JT) work. This code was originally written for AirSpy receiver.

rpi_rtlsdr_weather_station is Python code, based on https://dash.plotly.com to show weather data from a wireless weather station to a web page, served from a raspberry pi. Wireless data from the weather station is received with a RTL-SDR dongle and decoded by https://github.com/merbanan/rtl_433/.

The code is tested with a Fine Offset Electronics WH1080/WH3080 compatible Weather Station (Alecto WS-4000).

SuperSDR allows a realtime view of the spectrum waterfall and audio playback of any KiwiSDR around the world along with a local or remotely controlled CAT transceiver.

Requires pygame, pyaudio, matplotlib, numpy, and scipy.

References the KiwiSDR specifically. Maybe it'll work with others?

This small script is a cheap and easy way to start with IoT projects. By using the great rtl_433 software and a cheap RTL-SDR receiver it will listen to all kinds of devices transmitting at the 433,92 Mhz frequency.

Quite likely it will receive information from weather stations in your area, if you don't own one, your neighbours might! It will also receive signals from remote controls that are popular to use to control the lights.

The gateway will receive information from the SDR receiver and publish them in JSON format to the topic sensors/rtl_433. (Without the slash!)

Subtopics are created from this JSON line allowing to easily subscribe to specific sensors.

Requires the rtl_433 utility as its data source.

Spektrum is a spectrum analyzer software for use with rtl-sdr.

The biggest advantage is that it can do sweeps across a large frequency span.

User interface part is written in Processing.

A WebSDR is a Software-Defined Radio receiver connected to the internet, allowing many listeners to listen and tune it simultaneously. SDR technology makes it possible that all listeners tune independently, and thus listen to different signals; this is in contrast to the many classical receivers that are already available via the internet. WebSDR servers can register themselves automatically on this site, leading to the below list of currently active WebSDR servers.

Anyone can access any of the SDRs listed on this site and listen in.

RTL-SDR based spectrum analyzer.

RadioWitness is a P25 public safety radio archive with a web application and support for cryptographically authenticated mirrors through Dat Protocol. Running this software requires two or more RTLSDR radios and one or more local P25 "Phase 1" public safety radio networks.

It looks like reading through the documentation alone will help in building a trunk tracker.

A wholly unnecessary replacement for Dump1090's web interface for tracking ADS-B equipped aircraft.

Uses the JSON format provided by an existing Dump1090 web server, but presents it using military symbology. Just because you can, doesn't mean you should? Written in Javascript, but I don't know if it requires node.js or if it's just an HTML page with JS in it. Requires a couple of API keys.

CygnusRFI is an easy-to-use open-source Radio Frequency Interference (RFI) analysis tool, based on Python and GNU Radio Companion (GRC) that is conveniently applicable to any ground station/radio telescope working with a GRC-supported software-defined radio (SDR). In addition to data acquisition, CygnusRFI also carries out automated analysis of the recorded data, producing a series of averaged spectra covering a wide range of frequencies of interest. CygnusRFI is built for ground station operators, radio astronomers, amateur radio operators and anyone who wishes to get an idea of how "radio-quiet" their environment is, using inexpensive instruments like SDRs.

The CLI tool is used to set up scanning runs. Data is graphed as output.

Using an RTL-SDR device to do spectrum analysis. Uses numpy, pyQtGraph, rtlsdr modules. Short, sweet, and to the point.

rtl_433 is a generic data receiver, mainly for the 433.92 MHz, 868 MHz (SRD), 315 MHz, 345 MHz, and 915 MHz ISM bands. rtl_433 is written in portable C (C99 standard) and known to compile on Linux (also embedded), MacOS, and Windows systems. Older compilers and toolchains are supported as a key-goal. Low resource consumption and very few dependencies allow rtl_433 to run on embedded hardware like (repurposed) routers. Systems with 32-bit i686 and 64-bit x86-64 as well as (embedded) ARM, like the Raspberry Pi and PlutoSDR are well supported.

Python subclass of Random using an RTLSDR as the entropy seed. As of now, does not provide a CSPRNG. While changing the seeding for a Mersenne-Twister (what random() uses internally) should prevent attacks, this should not be used for functions that need cryptographically secure random numbers.