Configurable compressive sensing and processing using tracking information for delay-Doppler radar applications

Compressive sensing and processing (CSP) acquires and processes waveforms at a rate much lower than that of Nyquist sensing and processing (NSP). However, the use of CSP in estimation problems increases estimation error compared to NSP. To improve estimation performance an adaptive compressive sensing and processing (ACSP) method is proposed that creates a dictionary containing delay-Doppler shifts likely to be found in the radar return waveform according to tracking information. The proposed ACSP method improves tracking performance by adapting the size and content of the dictionary compared to non-adaptive CSP and a fixed sized dictionary ACSP method.