基于随机卷积的压缩感知雷达成像_刘记红精选.pdfVIP

33 7 V ol . 33 No. 7 2011 7 Sy stems Engineer ing and Electr onics July 2011 : 1001-506X 20 11) 07- 1485- 06 刘记红, 徐少坤, 高勋章, 黎 湘 国防科学技术大学空间电子信息技术研究所, 湖南长沙410073) : 压缩感知理论为解决传统高分辨雷达面临的大带 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 : 雷达成像; 压缩感知; 随机卷积; 降采样 : T N 95 : A DOI: 10. 3969/ j. issn. 1001-506X . 2011. 07. 11 Compressedsensing radar imaging basedon random convolution L IU J-i hong, XU Shao- kun , GA O Xun- zhang , L I X iang (Institute of Sp ace Electronic Technology, National Univ ersity of Def ense Technology , Changsha41007 , China) Abstract: Com pressed sens ing CS) theory pr ov ides gr eat po ssibilities for resolving m any pr oblem s assoc-i ated w it h high r esolut ion r adar , such as t he high sampling r ate of lar ge bandw idth, challenge s to t he memory , t ransmission and pr ocessing of imm ense data. CS by random convolution is a univer sally efficient data acquisit ion str ategy and easy to r ealize. The radar imaging technique based on CS by r andom conv olution is taken into r esearch and different downsampling strategies in r andom m easurement scheme are analy zed. Experiments from sim ulated data and r eal data v er ify the validity of the proposed imaging m ethod, and the influences of signal to noise ratio SNR) and sam- ple number on imaging performance under differ ent dow nsampling str ategies are analy zed and compared. Keywords: r adar im aging ; compr essed sensing CS) ; random conv olution; dow nsam pling 0