The Application of Compressed Sensing to Stepped-frequency Ground Penetrating Radar Migration Imaging
Qu Le-le① Fang Guang-you① Yang Tian-hong②
①Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China ②School of Electronics Information Engineering, Shenyang Aerospace University, Shenyang 110136, China
Abstract: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.