Compressive sensing radar: Simulation and experiments for target detection

In this paper the performance of a combined Constant False Alarm Rate (CFAR) Compressive Sensing (CS) radar detector is investigated. Using the properties of the Complex Approximate Message Passing (CAMP) algorithm, it is demonstrated that the behavior of the CFAR processor can be separated from that of the non-linear ℓ₁-norm recovery, thus allowing the use of standard radar equations to evaluate detection performance. The CS CFAR processor has been evaluated under different interference scenarios using both the Cell Averaging (CA) and Order Statistic (OS) CFAR detectors. The performance of the CS CFAR processor is also compared to that of an ℓ₁-norm detector using both simulations and experimental data.