压缩感知理论在频率步进探地雷达偏移成像中的应用

摘要

该文针对频率步进探地雷达的具体工作过程,利用目标成像空间的稀疏性提出了一种基于压缩感知理论的频率步进探地雷达偏移成像算法,成像过程中首先采用杂波抑制方法在频率域去除直达波,同时利用交叉验证算法来估计成像过程中的正则化参数,最后基于稀疏约束最优化方法实现对地下目标成像,仿真和实验数据表明了该算法的可行性和有效性.%With the sparistiy of the target space, a novel migration imaging algorithm for the stepped-frequency GPR based on compressive sensing is proposed in this paper. The new imaging algorithm removes the direct wave in frequency domain in advance, estimates the regulation parameter with cross validation algorithm, and images the subsurface with sparistiy constraint. The simulation and experimental data show .that the new imaging algorithm is effective and practical.