基于压缩感知的伪随机多相码连续波雷达

摘要

该文利用雷达目标空间的稀疏特性,提出了一种基于压缩感知的伪随机多相码连续波雷达.建立了目标信息感知模型,采用压缩感知以低于奈奎斯采样率对目标回波采样,然后从少量的采样数据中提取噪声背景下的目标场景信息.为了提高目标信息提取的有效性,采用模拟退火算法对波形进行优化.仿真结果表明了该方法的优越性.%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 oftarget scene is effectively extracted from a few sampling data in the presence of noise. To improve the effectiveneesof targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm.Simulation results demonstrate the merits of the proposed approach.