gatesgarth-21.08
Geniux Gatesgarth v21.08
New release of the Geniux Gatesgarth 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 GNSS-SDR for Embedded GNU/Linux.
Geniux Gatesgarth v21.08 is a customized embedded Linux distribution based on the Yocto Project version 3.2.4. Main features:
- Development tools: Automake v1.16.2, CMake v3.18.2, GCC v10.2.0 (+ libgfortran), make v4.3, ninja v1.10.1, Python v3.8.5.
- Goodies for signal processing:
- SDR framework: GNU Radio v3.8.2+.
- Number crunching libraries: Armadillo v10.5.0, FFTW v3.3.9, Lapack v3.9.0, VOLK v2.4.1.
- C++ supporting libraries: Boost v1.74.0, gflags v2.2.2, glog v0.5.0, googletest v1.11.0, Matio v1.5.21, Protocol Buffers v3.13.0, Pugixml v1.11.4.
- Graphical representation: gnss-sdr-monitor v1.0, Gnuplot v5.2.8, Matplotlib v3.3.2.
- 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 v0.0.15
More info at https://gnss-sdr.org/docs/tutorials/cross-compiling/
Changes with respect to Geniux Gatesgarth 21.06
- Fix
.wic
image creation in Geniux Gatesgarth 21.06. - Updated meta-intel, meta-raspberrypi, and meta-gnss-sdr layers.
- GNSS-SDR updated to v0.0.15
- Update FFTW to v3.3.9 and force to compile it without NEON, since it was causing segfaults.
- Update libiio to v0.23.
- Updated libad9361-iio and iio-oscilloscope recipes.
- Update glog to v0.5.0.
- Customized splash screen.
- Added a script for easier maintenance of the manifest.
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 gatesgarth 21.08 zedboard-zynq7
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 License
Copyright: © 2016-2021 Carles Fernández-Prades, CTTC. All rights reserved.
The content of this repository is released under the MIT license.
Acknowledgements
This work was partially supported by the Spanish Ministry of Science, Innovation, and Universities through the Statistical Learning and Inference for Large Dimensional Communication Systems (ARISTIDES, RTI2018-099722-B-I00) project.