usnistgov/SimulatedRadarWaveformGenerator
A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.
This tool generates realistic simulated radar signals and radio frequency (RF) datasets, specifically for federal incumbent radar systems operating in the 3.5 GHz CBRS band. It takes user-defined parameters for radar waveforms and noise, then outputs diverse RF datasets. Radar system engineers, researchers, or anyone developing and testing radar signal detection and classification algorithms would use this.
106 stars. No commits in the last 6 months.
Use this if you need to create a variety of synthetic radar waveform data, mixed with noise, to develop and rigorously test machine learning or deep learning algorithms for detecting specific radar signals.
Not ideal if you require real-world, live radar signal captures or if your primary focus is on bands significantly different from the 3.5 GHz CBRS band without a need for synthetic data.
Stars
106
Forks
36
Language
MATLAB
License
—
Category
Last pushed
May 10, 2021
Commits (30d)
0
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