Abstract
In this paper, the application of compressed sensing (CS) to pseudo random binary sequence (PRBS) radar is analyzed. We show that under the principles of CS theory, the sampling rate of the signal can be reduced without loss of resolution. CS theory is used to reconstruct the signal of an UWB PRBS radar system with a bandwidth of 20 GHz, when the radar signal is undersampled with a sample frequency lower than the Nyquist frequency. Finally, the performance of the reconstruction is evaluated under the presence of static and moving targets.
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