Three-dimensional Radar Imaging Based on Sparse Measurements
作者单位：Laboratory ATRSchool of Electronic Science and Engineering National University of Defense Technology
会议名称：《2011 3rd International Conference on Signal Processing Systems(ICSPS 2011)》
会议日期：2011年
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程]
关 键 词：3D ISAR Sparse measurement Compressed sensing Three-dimensional imaging
摘 要：In conventional three-dimensional Inverse Synthetic Aperture Radar (ISAR) imaging, high range-resolution is attained by transmitting a wideband signal and high cross-range resolution is attained by increasing the observation azimuth and elevation. Consequently, large collection time and data storage is needed for this three-dimensional imaging method. This paper presents three-dimensional imaging approaches by using the sparse measurements and convex optimization. This approach could decrease data collection time and data storage amount greatly;the proposed approaches have been verified using numerical simulations of point target, which show that it could recover the image exactly and maintain the imaging resolution.