Analysis and Design of Multi-aspect SAR System for Compressive Sensing-Based 3D Imaging  

作　　者：ZHOU Hanfei SU Yi XI Zemin LU Jianbin 

机构地区：[1]College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China [2]School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

出　　处：《Chinese Journal of Electronics》2014年第3期621-627,共7页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.60972120,No.61171135)

摘　　要：This paper focuses on the analysis and design of Multl-aspect SAR （MuSAR） system for Compressive sensing-based （CS-based） 3D imaging. For this purpose,the Point ambiguous function （PAF） is proposed to analyze the factors that dominate the Mutual coherence （MC） of MuSAR sensing matrix. The PAF contacts with the parameters and configuration of MuSAR system directly and is easy to manipulate. With PAF, the present study analyzes the factors that dominate the performance of CS-based MuSAR 3D imaging. First of all, the stochastic waveform is an excellent selection. Second, the angular-frequency-diversity can improve the robustness of 3D imaging. Finally, the finer sampling of received data could improve the robustness of MuSAR 3D imaging. Simulation experiments show the validity of conclusion.This paper focuses on the analysis and design of Multi-aspect SAR(MuSAR) system for Compressive sensing-based(CS-based) 3D imaging. For this purpose,the Point ambiguous function(PAF) is proposed to analyze the factors that dominate the Mutual coherence(MC) of MuSAR sensing matrix. The PAF contacts with the parameters and configuration of MuSAR system directly and is easy to manipulate. With PAF, the present study analyzes the factors that dominate the performance of CS-based MuSAR 3D imaging. First of all, the stochastic waveform is an excellent selection. Second, the angular-frequency-diversity can improve the robustness of3 D imaging. Finally, the finer sampling of received data could improve the robustness of MuSAR 3D imaging. Simulation experiments show the validity of conclusion.

关 键 词：Multi-aspect SAR （MuSAR） Compressive sensing （CS） Point ambiguous function （PAF） Radar imaging 

分 类 号：TN957.52[电子电信—信号与信息处理]