oe-gnss-sdr-manifest

New release of the Geniux Hardknott manifest. It contains a list of Git repositories and their respective commit hashes that allow building images and SDKs defined by the meta-gnss-sdr OpenEmbedded layer

The name Geniux comes from <ins>G</ins>NSS-SDR for <ins>E</ins>mbedded G<ins>N</ins>U/L<ins>i</ins>n<ins>ux</ins>.

Geniux Hardknott v25.04 is a customized embedded Linux distribution based on the Yocto Project version 3.3.6. Main features:

• Development tools: Automake v1.16.3, CMake v3.19.5, GCC v10.2.0 (+ libgfortran), make v4.3, ninja v1.10.2, Python v3.9.5.
• Goodies for signal processing:
  • SDR framework: GNU Radio v3.9.8.0-rc1.
  • Number crunching libraries: Armadillo v10.8.0, FFTW v3.3.9, Lapack v3.9.0, VOLK v2.5.0.
  • C++ supporting libraries: Boost v1.75.0, gflags v2.2.2, glog v0.5.0, googletest v1.11.0, Matio v1.5.23, Protocol Buffers v3.15.2, Pugixml v1.11.4.
  • Graphical representation: gnss-sdr-monitor v1.0, Gnuplot v5.2.8, Matplotlib v3.4.1.
• Software drivers and tools for RF front-ends: UHD v3.15.LTS (+ gr-uhd), gr-osmosdr v0.2.3 (+ rtl-sdr and hackrf), gr-iio v0.3, libiio v0.23, libad9361-iio v0.2, iio-oscilloscope v0.14.
• GNSS-SDR v0.0.20.

More info at https://gnss-sdr.org/docs/tutorials/cross-compiling/

Changes with respect to Geniux Hardknott 24.02

• Updated meta-gnss-sdr layer.
• Updated developer scripts and CI jobs.
• Updated GNSS-SDR to v0.0.20.

How to build images and the SDK

With Docker already installed on your system, build the SDK and images for your preferred machine:

$ git clone https://github.com/carlesfernandez/yocto-geniux
$ cd yocto-geniux
$ ./geniux-builder.sh hardknott 25.04 raspberrypi4

The generated yocto-geniux image also provides an interactive mode that allows users to make changes, experiment, fine-tune, and generate their own custom images and SDKs according to their specific requirements in a virtualized environment. Please check the README.md file of that repository for instructions.

Copyright and Licence

Copyright: &copy; 2016-2025 Carles Fern&aacute;ndez-Prades, CTTC. All rights reserved.

The content of this repository is released under the MIT licence.

Acknowledgements

This work was partially supported by CPP2021-008648 AEI/10.13039/501100011033 European Union NextGenerationEU/PRTR and Grant PID2021-128373OB-I00 funded by MCIN/AEI/10.13039/501100011033.