Frequency-Coded Pulse Radar Imaging via Compressive Sensing

摘要：

A novel compressive sensing (CS) based frequencycoded pulse radar (CS-FCPR) imaging approach is proposed in this paper. FCPR enables high resolution range and Doppler estimation, while transmitting narrowband pulses. Considering spatial sparsity of the radar target scene, FCPR targets echo is first analyzed and the problem of joint range- Doppler estimation is formulated to fit the CS classical framework. Direct solution of this problem using traditional sparse signal reconstruction algorithms needs the statistics of the noise. A cross validation (CV) based robust-SL0 (CVRSL0) algorithm without requiring the prior information of the statistics of the noise is presented to extract the parameters of targets. The targets parameter extraction performance of the proposed algorithm can rapidly approach the lower bound of the best estimator with the signal to noise ratio improving. Numerical results are compared with the traditional matched filter to illuminate the validity and superiority of this method.

关键词： Frequency-Coded Pulse Radar high resolution imaging compressive sensing cross validation robust-SL0 algorithm.

作者: Yapeng He Shanna Zhuang Hongtao Li Xiaohua Zhu

作者单位: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1526-1530

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）