Raspberry Pi FUNcube satellite telemetry decoder now available

The FUNcube Team has announced the availability of FUNcube CubeSat satellite telemetry decoder software for the popular Raspberry Pi computer board.

The original FUNcube telemetry decoder and Dashboard was designed to run on Windows devices and the FUNcube team did publish the telemetry format in accordance with the Amateur Satellite Service traditions and requirements. The Team had planned to opensource the Telemetry Decoder and provide an implementation on Linux, but several new missions after the original FUNcube-1 delayed their plans somewhat.

Late 2019, the Team had the opportunity to develop a low power/low impact ground station, based on Docker containers, for use at the Neumayer III Antarctic base at DP0GVN. This led us to evolve the code such that it would run on a Raspberry Pi. Duncan, 2E0GTV, has been able to produce this variant of the code and allow us to fully realize our Open Source commitment to the FUNcube project.

The Linux implementation is suitable for use on Raspberry Pi versions from 2B+ to 4 and with a FUNcube dongle (Pro or Pro+). The software will tune a dongle to search for and track all three FUNcube compatible spacecraft currently operational. The Telemetry Decoder is configured with five active decoders operating concurrently so it can deal with situations where more than one of the spacecraft are overhead at the same time.

AO-73 (FUNcube-1) – Image credit Wouter Weggelaar PA3WEG

The decoder and warehouse uploader run as a Docker container for convenience shell scripts have been provided to launch the container in one of two modes:

• “Interactive Mode” is when the Telemetry Decoder operates in the foreground , when FUNcube compatible telemetry is received, the corresponding hex data is displayed on the terminal screen.

• “Background Mode” allows the telemetry decoder to run as a Docker image in the background where it operates much like any other background service on Linux. This mode allows for the automatic restarting of the telemetry decoder after a shutdown or reboot of the Raspberry Pi, therefore making it suitable for a remote deployment situation.

*Both modes, when connected to the internet, will upload the received data to the FUNcube Data Warehouse and the totals displayed on the Ranking Page in the normal manner.

*Uploading to the warehouse requires online registration with the FUNcube Data Warehouse.

All the code for the telemetry decoder, and the scripts to build the Docker images, are now published online under a GPL Open Source License at the FUNcube-Dev GitHub account
https://github.com/funcube-dev