基于CS-TWR的动态阈值贪婪算法成像研究  

Imaging Research of Dynamic Threshold Greedy Algorithm based on CS-TWR

作　　者：余杰 夏朝禹 杜江[1] YU Jie;XIA Chaoyu;DU Jiang(College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]成都信息工程大学通信工程学院

出　　处：《成都信息工程大学学报》2019年第5期462-465,共4页Journal of Chengdu University of Information Technology

摘　　要：针对穿墙雷达(TWR)成像过程中分段弱正交匹配追踪(SWOMP)成像模糊等问题,提出了一种动态阈值弱正交匹配追踪算法(DWOMP),可以显著提高压缩感知穿墙雷达(CS-TWR)二维雷达像的性能指标。首先利用Chirp信号雷达回波数据建立TWR压缩感知仿真模型与构造过完备字典;然后给出了DWOMP算法实现流程,并进行了DWOMP算法的计算机仿真实验;最后将DWOMP算法与BP算法、SWOMP算法通过仿真实验比较。仿真结果表明,在相同实验条件下,DWOMP算法成像用时约为BP算法的3/5,成像分辨率优于SWOMP算法。Aiming at the problem that the segmentation weak orthogonal matching pursuit(SWOMP)imaging accuracy is not high during the through-wall radar(TWR)imaging process,a dynamic threshold weak orthogonal matching pursuit algorithm(DWOMP)is proposed,which can significantly improve the 2 Dradar image performance index of CS-TWR.Firstly,the TWR compressed sensing simulation modelis built and the over-complete dictionary are established by using Chirp signal radar echo data.Then the DWOMP algorithm implementation flow is given,and the computer simulation experiment of DWOMP algorithm is carried out.The DWOMP,BP and SWONP algorithms are compared through simulation experiment eventually.The simulation results show that under the same experimental conditions,the imaging time of DWOMP algorithm is about 3/5 of BP algorithm,and the imaging resolution of that is better than SWOMP algorithm.

关 键 词：压缩感知 过完备字典 基追踪 分段弱正交 动态阈值 

分 类 号：TN957.52[电子电信—信号与信息处理]