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== Summer of Code 2020: Project ideas list ==
Note- also check out [[Grant Ideas]] for additional ideas that are more suited towards grant money than GSoC.


This is the list of project ideas for the summer of code 2020 within GNU Radio.<br />
 
== Summer of Code 2024: Project ideas list ==
 
This is the list of project ideas for the summer of code 2024 within GNU Radio.<br />
Remember that these are '''ideas''' and are merely meant as an inspiration for you to write your own proposal.
Remember that these are '''ideas''' and are merely meant as an inspiration for you to write your own proposal.


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=== GRC: Build-in sub flowgraphs ===
=== Graphical interoperability between CyberEther and GNU Radio ===


GNU Radio has the hierarchical blocks to build reuseable sub flowgraphs. These hier_blocks can be designed in GRC, however, they have to be compiled to code and GRC bindings, before they can be used in other GRC files. While this is great for reuseablity across flowgraphs, it is quite cumbersome when the main use is to structure a single (larger) flowgraph. The goal of this project is to ease this use-case by embedding sub flowgraphs directly in the main GRC file. Instead of creating bindings and code and then parsing them back again, this process shall be done in-place to allow quickly editing sub flowgraphs on-the-fly.
The [https://github.com/luigifcruz/CyberEther CyberEther] project comes with some neat graphical sinks that would be great to have access to in GNU Radio. This project entails creating a new CyberEther GUI workflow much like the [https://github.com/gnuradio/gr-bokehgui gr-bokehgui] project, such that users can create flowgraphs with CyberEther sinks. This would allow the user to visualize GNU Radio data streams in one of the high-performance CyberEther plots (lineplot, waterfall, spectrogram, etc).


'''Prerequisites'''
'''Prerequisites'''


* GRC is written in Python which is (almost) all you need to know for this project.
* Knowledge of C++ and some Python
* Familiarity with graphical APIs (OpenGL, Vulkan, Metal)
* Basic Qt understanding


'''Outcome'''
'''Outcome'''


* A vastly improved workflow for structuring flowgraphs
* OOT module with CyberEther sinks
* Support for both GNU Radio main branch and 3.10?


'''Mentor(s)'''
'''Project length'''


* Sebastian Koslowski
Long (350 hours)


'''Difficulty'''


Medium


=== Qt5 GUI Integrations ===
'''Mentor(s)'''


Idea: Wrap the Qt GUI sinks to appear in QtCreator, including the GUI aspects of their parameterization
Luigi Cruz, Håkon Vågsether


'''Prerequisites'''
=== GPU Accelerated Signal Processing Blocks ===


* C++, Python proficiency
GPUs offer incredible capability for accelerating a number of signal processing routines when the calculations can be done in parallel.  Also, GNU Radio 3.10 brought in a "custom buffers" feature which provides support generally for accelerator devices by allowing blocks to have direct access to device memory, finally making accelerator processing feasible through a flowgraph (see [https://fosdem.org/2022/schedule/event/radio_gr3_10/ FOSDEM 2022 Presentation].
* Qt experienced


'''Outcome'''
One piece that is missing for GNU Radio is a library of blocks that accelerate common DSP routines.  There are several interesting libraries of GPU accelerated signal processing - primarily using CUDA because of its accessible programming paradigm and the ubiquity of NVIDIA hardware:


* Qt GUI Sinks usable as widgets in QtCreator (not necessarily already showing an "empty" GUI, just placeholders)
* [https://github.com/NVIDIA/MatX Matx]
* Possible to import generate Qt GUI description file (UIC) into GRC
* [https://github.com/rapidsai/cusignal cuSignal] (Python signal processing)
* Interface to map placeholders from GUI design to Qt GUI sinks in Flow graph
* [https://github.com/gnuradio/cusp CUSP]
* Integration of that into GRC-generated Python code


'''Mentor(s)'''
Integration of any of this functionality, along with additional kernels for signal processing would need to be predicated on using [https://github.com/gnuradio/gr-cuda gr-cuda] custom buffers, and expanding this module as needed


* Marcus Müller & Sebastian "GRC-Man" Koslowski
This project can be broken into several subprojects:


* Create gr-matx OOT
** Add Matx Custom Buffer Type (after gr-cuda)
** Create blocks wrapping Matx operations
* Expand gr-cuda
** Additional custom buffer types - pinned, unified
** Create python custom buffers allowing zero copy into python blocks
* Create gr-cuSignal
** Wrap cuSignal functionality (dependent on python zero copy)
* Replicate existing GR blocks as CUDA accelerated (things not in cuSignal or Matx)
** Target for extensions to Matx, cuSignal, or CUSP (within our control)
** FIR Filters
** Polyphase Resampler
** Signal Source
** Moving Average
** Polyphase Clock Sync
** Stream Operators
** ...


'''Prerequisites'''


=== GRC: View-Only Mode (Secure) ===
* Knowledge of C++ and Python.
* Familiarity with CUDA programming


When a flowgraph from an untrusted source is opened if GRC, arbitrary Python code can be executed. This poses a potential security risk. Storing the all evaluated values of all parameters within a flow graph (.grc) file would allow us to open such flow graphs without compromising security. No code would be have to executed to draw the flow graph and block parameters can be viewed safely. Only if the flow graph is modified the user would have to choose to trust the flow graph thus enabling normal eval operations.


'''Prerequisites'''
'''Outcome'''


* GRC is implemented using Python. So, Python should be known pretty well.
Depends on chosen subprojects (see above).
 
'''Outcome'''


* Safely view other people's flowgraphs without putting your PC at risk.
'''Project length'''


'''Mentor(s)'''
350 hours


* Sebastian Koslowski
'''Difficulty'''


Medium


'''Mentor(s)'''


=== Extending and Updating gr-radar ===
Josh Morman


gr-radar (https://github.com/kit-cel/gr-radar/) was a great and successful GSoC project that provided a few methods of radar in GNU Radio. This module is heavily used by academics, researchers, cybersecurity folks, and hobbyists. This project would work to improve upon the concepts already in there as well as add more radar techniques.
=== GRC and GR 4.0 ===


There are uncountable methods and techniques that could be added to this project, such as:
Development of GR 4.0 is progressing quickly. In the current runtime prototype a plugin architecture is used to properly register blocks with the runtime.
This allows a more dynamic construction of flowgraphs and introspection into the blocks. But this means the current way of assembling a flowgraph by generating a Python or C++
file needs updates.


* SAR / InSAR methods
The idea is to port and change necessary parts of GRC (Qt development version) to use the block registry in the new GNU Radio runtime https://github.com/fair-acc/graph-prototype/ and assemble some of the example flowgraphs defined in GRC files and make them run.
* Better passive radar support
The design for this is not finalized and therefore you will have freedom to propose your ideas.
* Speed camera applications
* Multi-antenna radar techniques


'''Prerequisites'''
'''Prerequisites'''


* Signal processing and some radar basics are required.
* Good Knowledge of C++ and Python
* Code is written in C++ with some Python on the side, so the student must be able to handle these languages at the least.
* Experience with inter-language bindings (not necessarily C++ & Python) is useful
* Basic Qt understanding


'''Outcome'''
'''Outcome'''


* Based on the student's interest, a subset of the radar techniques listed above (or others) are chosen as milestones for this project.
* Prototype integration of GRC with the new plugin architecture of GR 4.0
* All code must be merged back into gr-radar by the end of the summer.


'''Mentor(s)'''
'''Project length'''


* Stefan Wunsch, Martin Braun
Long (350 hours)


'''Difficulty'''


Challenging


=== QT Widgets Improvements ===
'''Mentor(s)'''


The gr-qtgui in-tree component provides some QT widgets for signal visualization. This component needs some improvement to become more useful.<br />
Andrej Rode, Josh Morman
This project is cleanly divided into several sub-projects:


* Add new widgets
=== GRC: Standalone application and pluggable workflows ===
** Compass display (e.g. for direction-finding applications)
** MPEG display (e.g. for video demod output)
** Matrix sink (e.g. for radar Doppler/range plane visualization, or 2D-equalizer taps visualization)


* Improve current widgets
GNU Radio Companion (GRC) has become useful outside of just GNU Radio, and several projects have forked and maintained their own versions.  Even within GRC, there are different workflows (QT GUI, C++, Bokeh-gui) with different options in the path to render a working flowgraph see [https://github.com/gnuradio/greps/blob/main/grep-0025-grc-out-of-tree.md GREP 0025].  In its most basic form, GRC does the following:
** Better code structure to make the current widgets more manageable, extensible and remove code duplication between widgets
** More Control Panels on other widgets (follow lead on the frequency sink)
** Improve UI, make more intuitive, more power to mouse users
** Set trigger point with mouse


* Integration / Support for QT Creator
* User sets high level options (type of flowgraph)
** QML design
* User draws flowgraph graphically with blocks and connections
** Allow to build full GUI applications from, say, GRC
* Flowgraph uses templates (Mako) to render to a python script


'''Prerequisites'''
The goal of this project is to pull GRC out of the GNU Radio codebase and make the workflow modular.  There should be a high level selection of the workflow that defines the options block.  In our current usage these workflows could be:


* Familiarity with QT is essential.
* Python QT GUI
* Widgets are written in C+'', so some C''+ knowledge is also required.
* C++ QT GUI
* Python skills are highly useful.
* Python No GUI
* C++ No GUI
* Bokeh GUI


'''Mentor(s)'''
The workflow should map to a set of templates that are used to render the output script.  The definition of the workflow options and the associated templates should be defined in some pluggable manner (files dropped into a directory that GRC sees at runtime), so that "out of tree" workflows can be added easily - because we don't know all the use cases of GRC.


Tim O'Shea
'''Steps'''
* Move GRC as a separate repository (while maintaining git history)
* Remove dependence of GRC on gnuradio
* Modularized options block
* Modularized templates
* Allow templating with jinja as well
* If time allows:
** Modularize gr-modtool templates as well per [https://github.com/gnuradio/greps/blob/main/grep-0026-modtool-template-rework.md GREP 0026]
** Support multiple domains' workflows.


'''Prerequisites'''


* Knowledge of Python.


=== Standardized High Throughput FEC Codes ===
'''Outcome'''


Channel coding is essential to modern communications. Also, it is computationally very heavy. As of now, there exist implementations in GNU Radio which are too slow to be integrated into high throughput applications. GNU Radio would benefit from integration of standardized decoders for Turbo and LDPC codes. These codes would only support a certain subset of the whole code class but would be well optimized.  
* GRC as a GNU Radio-independent application
* Support for additional workflows in GRC
* Depends on chosen subprojects (see above).


'''Prerequisites'''
'''Project length'''


* Understanding of ''gr-fec'' API. Knowledge on channel coding. Understanding of C++.
350 hours


'''Outcome'''
'''Difficulty'''


* Standardized Codes, e.g. LTE Turbo Codes, 5G Polar Codes, 5G LDPC Codes, CCITT Convolutional Codes etc. are available in ''gr-fec''.
Medium
* The preferred goal is to find a highly optimized implementation and integrate these into GNU Radio.


'''Mentor(s)'''
'''Mentor(s)'''


* Johannes Demel
Josh Morman,
Håkon Vågsether,
Sebastian Koslowski,
?? Someone else that is a GRC Wizard
 
=== GRC: Build-in sub flowgraphs ===


GNU Radio has hierarchical blocks as a way to build reuseable sub flowgraphs. These hier_blocks can be designed in GRC, however, they have to be compiled to code and GRC bindings, before they can be used in other GRC files. While this is great for reuseablity across flowgraphs, it is quite cumbersome when the main use is to structure a single (larger) flowgraph. The goal of this project is to ease this use-case by embedding sub flowgraphs directly in the main GRC file. Instead of creating bindings and code and then parsing them back again, this process shall be done in-place to allow quickly editing sub flowgraphs on-the-fly. 


'''Prerequisites'''


=== Android ===
* GRC is written in Python which is (almost) all you need to know for this project.


One effort of the past years was to improve Android support for GNU Radio. We're getting to a point where we've figured out '''how''' to do it, so the next step is to make it more accessible to users and developers.
'''Outcome'''


The Android ecosystem is an entirely different beast from the rest of GNU Radio. To make writing Android/GR apps easy, the following needs to happen (and shall be part of this project):
* A vastly improved workflow for structuring flowgraphs


* Improve support for development environment
'''Project length'''
** Create Dockers for easy start of development
* Visualization classes for PSD, spectrogram and oscilloscope
** Easy reuse in other apps, like the gr-qtgui widgets, but for Android SDKs
* Interactivity concepts
** Gestures and config for radio parameters (e.g., freq, gain, bandwidth)
** Create an example FM receiver app that allows easy channel selection etc. through motions and gestures


You can find a summary of the work that has been done on this (years ago) here: [[Android]]
175 hours


'''Prerequisites'''
'''Difficulty'''


* Some Android experience
Easy
* Enjoy writing GUI widgets
* C++/Java experience


'''Mentor(s)'''
'''Mentor(s)'''


* Bastian Bloessl
Håkon Vågsether
 
=== Runtime Benchmarks ===


To facilitate development of a more modern GNU Radio runtime and scheduler, we need a tool to measure its performance (in terms of delay and throughput).
This data is required to compare alternate approaches and to become aware of performance regressions early in the process.


The goal of the project is to provide a tool to benchmark the GNU Radio runtime. Since we are interested in the performance on many platforms and architectures, it should provide an option to submit performance data to our sever, allowing us to crowdsource data. (Similar to our [http://stats.gnuradio.org/ online stats] for SIMD performance.)
=== Revitalize in-tree and out-of-tree (OOT) modules ===


* Come up with interesting metrics and, if needed, implement blocks to extract them.
A lot has changed since version 3.7, and GNU Radio has made great technical strides the last few years. However, some OOT modules haven't been updated to support the latest versions of GNU Radio, and these modules currently require the user to install an older version of the framework. This is unfortunate, and lowers the useability of GNU Radio as a whole. Some of these modules have been superseded by others, but might still have some blocks or flowgraphs that are useful, and these could be updated and moved in-tree. Some in-tree modules are also in need of attention, like gr-wavelet, which does not have any examples.
* Come up with interesting flowgraph topologies that should be benchmarked.
* Setup automated experiments that iterate over a given parameter space (repetitions, number of samples, size of the flowgraph).
* Parse, evaluate, and visualize the data.
* Add an option to upload the performance data to our web sever.


'''Prerequisites'''
'''Prerequisites'''


* C++ programming
* Knowledge of C++, Python and DSP.
* Data evaluation and visualization
* Automation tools (like GNU Make to run benchmarks)


'''Mentor(s)'''
'''Outcome'''


* Bastian Bloessl, Marcus Mueller
* More example code, tests and flowgraphs for various in-tree modules
* Porting various OOT modules to support recent versions of GNU Radio
* Possibly blocks/flowgraphs from old OOT modules moved in-tree


=== Filter Design Tool Enhancements ===
'''Project length'''


GNU Radio provides many tools to design and use digital filters. Using these tools requires both some expertise in these areas as well as an understanding of the performance on the given platform. One example is the selection between FIR (convolution-based) and FFT (fast convolution-based) filters for different resampling rates. Another example is doing stages of filter decomposition when doing large down-sampling. Included in this is the polyphase filterbanks, which again are provided as primitive blocks that need tweaking to work.
Small (90 hours) - Medium (175 hours)


This project is to improve our uses of these tools and blocks to make it more obvious to the users as well as automate some of the decisions for optimally using them. Some pointers:
'''Difficulty'''


* When used in GRC, we want to save the results of the tool in a local file or for use in actual blocks.
Easy - Medium
* It still currently runs on PyQWT, which is obsolete and needs to be updated to Qt5
** See https://github.com/trondeau/gnuradio/tree/filter/design_tool_newgui
* Add more support for filter design concepts and other filters.
** Cascaded filters
** Better support for creating PFB filters


'''Prerequisites'''
'''Mentor(s)'''


* Strong DSP background required.
Håkon Vågsether, ?
* Python and QT knowledge highly useful (at least one of those is a must).


'''Mentor(s)'''
=== Forward Error Correction in GNU Radio ===


* Marcus Leech
Over the years many different forward error correction (FEC) methods ( e.g. Polar Encoder/Decoder, LDPC Encoder/Decoder) have been added to GNU Radio.
In other open-source projects (e.g. Aff3ct,  more modern methods and possibly more performant methods have been implemented.


The goal of this project is to update and possibly overhaul the FEC implementations within GNU Radio. Since there are quite some methods in the wild,
we need to coordinate on which methods and other libraries should be included in the comparison. Same goes for the already available methods for error coding in GNU Radio.


'''Prerequisites'''


=== Implement SigMF functionality for the GNU Radio Ecosystem ===
* Knowledge of C++, Python and DSP.
* Interest in information theory and error coding
* No fear of reading & comparing other implementations


SigMF is the "Signal Metadata Format" that was defined during the 2017 DARPA Hackfest in Brussels. Its purpose is to annotate raw binary dumps of signals with metadata, thus giving meaning to a raw mass of samples.<br />
'''Outcome'''
SigMF is specified and has a minimal reference implementation here: https://github.com/gnuradio/sigmf
There is an out-of-tree module providing SigMF functionality for GNU Radio as well: https://github.com/skysafe/gr-sigmf


However, SigMF is not represented well in the GNU Radio tooling landscape. Therefore, a subset of tools can be extended by SigMF support. Incomplete lists of possible tools benefitting from SigMF support:
* Updated & polished FEC experience in GNU Radio
* Addition of more performant and updated methods for error coding
* Deletion of possibly redundant and inperformant methods


* qgrx (https://github.com/csete/gqrx)
'''Project length'''
* inspectrum (https://github.com/miek/inspectrum)
* ...


Any additional tools are welcome in a proposal.
Medium (175 hours) - Long (350 hours)


'''Prerequisites'''
'''Difficulty'''


* Knowledge of the programming language of the covered tools.
Medium - Hard
* Hands-on experience with the respective tools.
* Familiarity with the SigMF specification.


'''Outcome'''
'''Mentor(s)'''


* The tools worked on have capability to load and save files in the SigMF format.
Andrej Rode, ?
* Depending on the specific tool, SigMF meta data is displayed within the tool.
* The number of tools worked on needs to be determined by the student, depending on his/her experience.


'''Mentor(s)'''
=== CI for maintenance branches and select OOT modules ===


* Sebastian Müller, Andrej Rode
It would be useful to have nightly builds for GNU Radio's maintenance branches (3.8, 3.9, 3.10) and some select OOTs.


'''Prerequisites'''


* Experience with Docker?
* ?


=== Statistical Toolbox for GRC ===
'''Outcome'''


A statistical toolbox for GRC would enable GUI-based statistical analysis. Currently, such analysis can be done by writing an independent program (e.g., with SciPy), but there is no actual integration with GNU Radio. By developing the statistical toolbox, we provide blocks for probability distribution fitting, hypothesis testing, extracting statistical parameters for one-dimensional as well as multi-dimensional data. This would significantly expand GNU Radio users' ability to perform data-science analysis and modeling on signal data.
* Automated PPAs, Snaps, Flatpak apps


'''Prerequisites'''
'''Project length'''


* Understanding of existing GNU Radio tools (e.g., GRC), GNU Radio Out-of-Tree Modules, and statistics / data-science modeling.
175 hours


'''Outcome'''
'''Difficulty'''


* An OOT module that provides statistical analysis capabilities for GNU Radio.
Easy


'''Mentor(s)'''
'''Mentor(s)'''


* Ben Hilburn
Håkon Vågsether, ?


== Application process ==
== Old Ideas ==


Students interested in participating, read the [[GSoCStudentInfo|student instructions]] and the [[GSoCManifest|rules of conduct]].
Feel free to browse [https://wiki.gnuradio.org/index.php?title=OldGSoCIdeas old ideas] from previous years for inspiration.
* Please introduce yourself on the [https://lists.gnu.org/mailman/listinfo/discuss-gnuradio GNU Radio mailing list]
* Fill in the formal application for GNU Radio
* Pick some items from the list above or feel free to suggest another piece of work relevant to this theme. Give us a detailed, week-by-week plan for completing the task over the summer.

Latest revision as of 16:36, 23 February 2024

Note- also check out Grant Ideas for additional ideas that are more suited towards grant money than GSoC.


Summer of Code 2024: Project ideas list

This is the list of project ideas for the summer of code 2024 within GNU Radio.
Remember that these are ideas and are merely meant as an inspiration for you to write your own proposal.

Students who do not find a fit among these projects are encouraged to engage with us and suggest new ones. The GNU Radio discussion mailing list is the best place to contact all of us. Please do not contact us off-list for the sake of discussing the summer of code, unless you're contacting a mentor listed here to get feedback on a proposal.

Reviewing the Google GSoC FAQ page for a broader understanding of project, mentor, and student responsibilities is recommended.

If you need a USRP or other radio hardware to complete the project, we will be able to arrange something.

Please add ideas to this list (you may cannibalize old ideas, of course!).

Guidelines for good projects (when suggesting projects, please consider these):

  • Clearly defined scope, with a main target that can be done in 3 months
  • Clear benefits for the GNU Radio project
  • Not specific to a certain hardware. No specific embedded devices, either, please.
  • Both OOTs and in-tree improvements are welcome


Graphical interoperability between CyberEther and GNU Radio

The CyberEther project comes with some neat graphical sinks that would be great to have access to in GNU Radio. This project entails creating a new CyberEther GUI workflow much like the gr-bokehgui project, such that users can create flowgraphs with CyberEther sinks. This would allow the user to visualize GNU Radio data streams in one of the high-performance CyberEther plots (lineplot, waterfall, spectrogram, etc).

Prerequisites

  • Knowledge of C++ and some Python
  • Familiarity with graphical APIs (OpenGL, Vulkan, Metal)
  • Basic Qt understanding

Outcome

  • OOT module with CyberEther sinks
  • Support for both GNU Radio main branch and 3.10?

Project length

Long (350 hours)

Difficulty

Medium

Mentor(s)

Luigi Cruz, Håkon Vågsether

GPU Accelerated Signal Processing Blocks

GPUs offer incredible capability for accelerating a number of signal processing routines when the calculations can be done in parallel. Also, GNU Radio 3.10 brought in a "custom buffers" feature which provides support generally for accelerator devices by allowing blocks to have direct access to device memory, finally making accelerator processing feasible through a flowgraph (see FOSDEM 2022 Presentation.

One piece that is missing for GNU Radio is a library of blocks that accelerate common DSP routines. There are several interesting libraries of GPU accelerated signal processing - primarily using CUDA because of its accessible programming paradigm and the ubiquity of NVIDIA hardware:

Integration of any of this functionality, along with additional kernels for signal processing would need to be predicated on using gr-cuda custom buffers, and expanding this module as needed

This project can be broken into several subprojects:

  • Create gr-matx OOT
    • Add Matx Custom Buffer Type (after gr-cuda)
    • Create blocks wrapping Matx operations
  • Expand gr-cuda
    • Additional custom buffer types - pinned, unified
    • Create python custom buffers allowing zero copy into python blocks
  • Create gr-cuSignal
    • Wrap cuSignal functionality (dependent on python zero copy)
  • Replicate existing GR blocks as CUDA accelerated (things not in cuSignal or Matx)
    • Target for extensions to Matx, cuSignal, or CUSP (within our control)
    • FIR Filters
    • Polyphase Resampler
    • Signal Source
    • Moving Average
    • Polyphase Clock Sync
    • Stream Operators
    • ...

Prerequisites

  • Knowledge of C++ and Python.
  • Familiarity with CUDA programming


Outcome

Depends on chosen subprojects (see above).

Project length

350 hours

Difficulty

Medium

Mentor(s)

Josh Morman

GRC and GR 4.0

Development of GR 4.0 is progressing quickly. In the current runtime prototype a plugin architecture is used to properly register blocks with the runtime. This allows a more dynamic construction of flowgraphs and introspection into the blocks. But this means the current way of assembling a flowgraph by generating a Python or C++ file needs updates.

The idea is to port and change necessary parts of GRC (Qt development version) to use the block registry in the new GNU Radio runtime https://github.com/fair-acc/graph-prototype/ and assemble some of the example flowgraphs defined in GRC files and make them run. The design for this is not finalized and therefore you will have freedom to propose your ideas.

Prerequisites

  • Good Knowledge of C++ and Python
  • Experience with inter-language bindings (not necessarily C++ & Python) is useful
  • Basic Qt understanding

Outcome

  • Prototype integration of GRC with the new plugin architecture of GR 4.0

Project length

Long (350 hours)

Difficulty

Challenging

Mentor(s)

Andrej Rode, Josh Morman

GRC: Standalone application and pluggable workflows

GNU Radio Companion (GRC) has become useful outside of just GNU Radio, and several projects have forked and maintained their own versions. Even within GRC, there are different workflows (QT GUI, C++, Bokeh-gui) with different options in the path to render a working flowgraph see GREP 0025. In its most basic form, GRC does the following:

  • User sets high level options (type of flowgraph)
  • User draws flowgraph graphically with blocks and connections
  • Flowgraph uses templates (Mako) to render to a python script

The goal of this project is to pull GRC out of the GNU Radio codebase and make the workflow modular. There should be a high level selection of the workflow that defines the options block. In our current usage these workflows could be:

  • Python QT GUI
  • C++ QT GUI
  • Python No GUI
  • C++ No GUI
  • Bokeh GUI

The workflow should map to a set of templates that are used to render the output script. The definition of the workflow options and the associated templates should be defined in some pluggable manner (files dropped into a directory that GRC sees at runtime), so that "out of tree" workflows can be added easily - because we don't know all the use cases of GRC.

Steps

  • Move GRC as a separate repository (while maintaining git history)
  • Remove dependence of GRC on gnuradio
  • Modularized options block
  • Modularized templates
  • Allow templating with jinja as well
  • If time allows:
    • Modularize gr-modtool templates as well per GREP 0026
    • Support multiple domains' workflows.

Prerequisites

  • Knowledge of Python.

Outcome

  • GRC as a GNU Radio-independent application
  • Support for additional workflows in GRC
  • Depends on chosen subprojects (see above).

Project length

350 hours

Difficulty

Medium

Mentor(s)

Josh Morman, Håkon Vågsether, Sebastian Koslowski, ?? Someone else that is a GRC Wizard

GRC: Build-in sub flowgraphs

GNU Radio has hierarchical blocks as a way to build reuseable sub flowgraphs. These hier_blocks can be designed in GRC, however, they have to be compiled to code and GRC bindings, before they can be used in other GRC files. While this is great for reuseablity across flowgraphs, it is quite cumbersome when the main use is to structure a single (larger) flowgraph. The goal of this project is to ease this use-case by embedding sub flowgraphs directly in the main GRC file. Instead of creating bindings and code and then parsing them back again, this process shall be done in-place to allow quickly editing sub flowgraphs on-the-fly.

Prerequisites

  • GRC is written in Python which is (almost) all you need to know for this project.

Outcome

  • A vastly improved workflow for structuring flowgraphs

Project length

175 hours

Difficulty

Easy

Mentor(s)

Håkon Vågsether


Revitalize in-tree and out-of-tree (OOT) modules

A lot has changed since version 3.7, and GNU Radio has made great technical strides the last few years. However, some OOT modules haven't been updated to support the latest versions of GNU Radio, and these modules currently require the user to install an older version of the framework. This is unfortunate, and lowers the useability of GNU Radio as a whole. Some of these modules have been superseded by others, but might still have some blocks or flowgraphs that are useful, and these could be updated and moved in-tree. Some in-tree modules are also in need of attention, like gr-wavelet, which does not have any examples.

Prerequisites

  • Knowledge of C++, Python and DSP.

Outcome

  • More example code, tests and flowgraphs for various in-tree modules
  • Porting various OOT modules to support recent versions of GNU Radio
  • Possibly blocks/flowgraphs from old OOT modules moved in-tree

Project length

Small (90 hours) - Medium (175 hours)

Difficulty

Easy - Medium

Mentor(s)

Håkon Vågsether, ?

Forward Error Correction in GNU Radio

Over the years many different forward error correction (FEC) methods ( e.g. Polar Encoder/Decoder, LDPC Encoder/Decoder) have been added to GNU Radio. In other open-source projects (e.g. Aff3ct, more modern methods and possibly more performant methods have been implemented.

The goal of this project is to update and possibly overhaul the FEC implementations within GNU Radio. Since there are quite some methods in the wild, we need to coordinate on which methods and other libraries should be included in the comparison. Same goes for the already available methods for error coding in GNU Radio.

Prerequisites

  • Knowledge of C++, Python and DSP.
  • Interest in information theory and error coding
  • No fear of reading & comparing other implementations

Outcome

  • Updated & polished FEC experience in GNU Radio
  • Addition of more performant and updated methods for error coding
  • Deletion of possibly redundant and inperformant methods

Project length

Medium (175 hours) - Long (350 hours)

Difficulty

Medium - Hard

Mentor(s)

Andrej Rode, ?

CI for maintenance branches and select OOT modules

It would be useful to have nightly builds for GNU Radio's maintenance branches (3.8, 3.9, 3.10) and some select OOTs.

Prerequisites

  • Experience with Docker?
  • ?

Outcome

  • Automated PPAs, Snaps, Flatpak apps

Project length

175 hours

Difficulty

Easy

Mentor(s)

Håkon Vågsether, ?

Old Ideas

Feel free to browse old ideas from previous years for inspiration.

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