Science Score: 54.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
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    Found .zenodo.json file
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    Links to: ieee.org
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    Low similarity (15.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: ShaneFlandermeyer
  • License: gpl-3.0
  • Language: C++
  • Default Branch: master
  • Size: 1.07 MB
Statistics
  • Stars: 34
  • Watchers: 4
  • Forks: 10
  • Open Issues: 4
  • Releases: 3
Created about 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

gr-plasma: A GNU Radio module for radar signal processing

pulse-doppler processing flowgraph

The gr-plasma module implements a number of radar signal processing functions in GNU Radio. Due to the bursty nature of pulsed radar operation, these blocks are implemented entirely in the message passing domain. The module pulls much of its signal processing from plasma-dsp, which is a general-purpose radar signal processing library intended for use outside of GNU Radio. plasma-dsp uses ArrayFire to enable GPU-accelerated processing, and real-time operation has been achieved on an Ettus X310 SDR and an NVIDIA RTX 3070 GPU at sample rates up to 100 MS/s.

The following features have been implemented:

  • High-rate data streaming from UHD compatible software-defined radios: Transmit and receive functionality is implemented in a single USRP radar block, which can achieve higher sample rates than the stream-based UHD blocks since no overhead is incurred from the scheduler.

  • Waveform generation: The module provides blocks for generating Linear FM waveforms with arbitrary bandwidths and pulse widths. There is also a block that generates PCFM waveforms from common phase codes.

  • Matched filtering for arbitrary transmitted waveforms

  • Doppler processing

  • Cell-averaging CFAR detection

  • Range-doppler map generation (with optional detection markers)

  • Utilities for reading and writing PDU data to and from files. The data is stored in the same format as the file source block in the main tree, and the PMT metadata dictionary can optionally be stored as a JSON object.

NOTE: Most work in this repository is done in the develop branch. If master does not have a feature you want, be sure to check out develop before filing an issue. The develop branch tracks the develop branch of plasma-dsp, so you must check that out as well.

Installation

To install gr-plasma system-wide, you should first install plasma-dsp using the instructions in its README. Additional required dependencies should be installed as:

[bash] sudo apt install nlohmann-json3-dev libqwt-qt5-dev

Next, run the following from the top-level directory of the module:

[bash] mkdir build cd build cmake .. make sudo make install sudo ldconfig

The module can similarly be uninstalled from the top-level directory as shown below:

[bash] cd build sudo make uninstall sudo ldconfig

Owner

  • Name: Shane Flandermeyer
  • Login: ShaneFlandermeyer
  • Kind: user
  • Location: Norman
  • Company: Advanced Radar Research Center

Master's student at the University of Oklahoma. Using reinforcement learning to control radars.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: gr-plasma
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Shane
    family-names: Flandermeyer
    email: shaneflandermeyer@gmail.com
    affiliation: The University of Oklahoma
    orcid: 'https://orcid.org/0009-0001-9395-5396'
repository-code: 'https://github.com/ShaneFlandermeyer/gr-plasma'
abstract: >-
  gr-plasma is a GPU-accelerated signal processing toolbox for GNU Radio. The primary purpose of this repository is to provide block interfaces for the processing defined in the plasma-dsp library, although this repository contains many visualization tools that are separate from plasma-dsp.
license: MIT

GitHub Events

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  • Issues event: 4
  • Watch event: 9
  • Issue comment event: 7
  • Fork event: 2
Last Year
  • Issues event: 4
  • Watch event: 9
  • Issue comment event: 7
  • Fork event: 2