Repo Manifests for building systems based on the meta-gnss-sdr layer
This repository provides Repo manifests to setup the OpenEmbedded build system with the meta-gnss-sdr layer.
NOTE: PLEASE DO NOT USE THE master BRANCH OF THIS REPO TO BUILD IMAGES, USE ONE OF THE AVAILABLE BRANCHES INSTEAD.
OpenEmbedded allows the creation of custom GNU/Linux distributions for embedded systems. It is a collection of git repositories known as layers each of which provides recipes to build software packages as well as configuration information.
Repo is a tool that enables the management of many git repositories given a single manifest file. Tell repo to fetch a manifest from this repository and it will fetch the git repositories specified in the manifest and, by doing so, setup an OpenEmbedded build environment for you!
Setting up the build host
The process described below is based on OpenEmbedded (a build framework for embedded Linux) and the Yocto Project (a complete embedded Linux development environment covering several build profiles across multiple architectures including ARM, PPC, MIPS, x86, and x86-64). In order to set up a build host, you will need a machine with a minimum of 50 Gbytes of free disk space and running a supported Linux distribution. In general, if you have the current release minus one of Ubuntu, Fedora, openSUSE, CentOS or Debian you should have no problems. For a more detailed list of distributions that support the Yocto Project, see the Supported Linux Distributions section in the Yocto Project Reference Manual.
Instead of setting up your machine for building images or the SDK defined by the
meta-gnss-sdr layer, you might prefer building them on a virtualized
environment, so your machine does not need to be on a specific state in order to
enforce reproducibility. To that end, the
https://github.com/carlesfernandez/yocto-geniux repository provides a
Dockerfile and a script that automatically sets up a building environment and
builds the images and the SDK for you. Please check the
file on that repo for more details on its usage and options.
Copyright and License
Copyright: © 2016-2022 Carles Fernández-Prades, CTTC. All rights reserved.
The content of this repository is released under the MIT license.
This work was partially supported by Grant PID2021-128373OB-I00 funded by MCIN/AEI/10.13039/501100011033.