Compressive Sensing Based Pseudo-random Multi-phase CW Radar
基于压缩感知的伪随机多相码连续波雷达

A novel pseudo-random multi-phase code Continuous Wave (CW) radar using Compressive Sensing (CS) is presented considering the sparse of radar target space. This paper establishes targets information sensing model. Compressive sensing is employed to sample targets echo under Nyquist sampling rate. Then the information of target scene is effectively extracted from a few sampling data in the presence of noise. To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm. Simulation results demonstrate the merits of the proposed approach.