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基于随机卷积的压缩感知雷达成像
引用本文:刘记红,徐少坤,高勋章,黎湘. 基于随机卷积的压缩感知雷达成像[J]. 系统工程与电子技术, 2011, 33(7): 1485-1490. DOI: 10.3969/j.issn.1001-506X.2011.07.11
作者姓名:刘记红  徐少坤  高勋章  黎湘
作者单位:国防科学技术大学空间电子信息技术研究所, 湖南 长沙 410073
摘    要:压缩感知理论为解决传统高分辨雷达面临的大带宽信号采样、海量数据存储、传输与处理等问题提供了契机。基于随机卷积的压缩感知是一种通用有效的数据获取策略,且便于物理实现。研究了基于随机卷积的压缩感知雷达成像方法,对随机测量体系中降采样的不同实现方式进行分析和讨论。仿真和实测数据验证了成像方法的有效性,并对比分析了不同降采样方式下信噪比和样本数对成像性能的影响。

关 键 词:雷达成像  压缩感知  随机卷积  降采样

Compressed sensing radar imaging based on random convolution
LIU Ji-hong,XU Shao-kun,GAO Xun-zhang,LI Xiang. Compressed sensing radar imaging based on random convolution[J]. System Engineering and Electronics, 2011, 33(7): 1485-1490. DOI: 10.3969/j.issn.1001-506X.2011.07.11
Authors:LIU Ji-hong  XU Shao-kun  GAO Xun-zhang  LI Xiang
Affiliation:Institute of Space Electronic Technology, National University of Defense Technology, Changsha 410073, China
Abstract:Compressed sensing(CS) theory provides great possibilities for resolving many problems associated with high resolution radar,such as the high sampling rate of large bandwidth,challenges to the memory,transmission and processing of immense data.CS by random convolution is a universally efficient data acquisition strategy and easy to realize.The radar imaging technique based on CS by random convolution is taken into research and different downsampling strategies in random measurement scheme are analyzed.Exper...
Keywords:radar imaging  compressed sensing(CS)  random convolution  downsampling  
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