缺失孔径下多基地外辐射源雷达成像算法

doi:10.3969/j.issn.1001-2400.2016.03.005

西安电子科技大学学报 ›› 2016, Vol. 43 ›› Issue (3): 25-30.doi: 10.3969/j.issn.1001-2400.2016.03.005

缺失孔径下多基地外辐射源雷达成像算法

王珏;王俊;武勇;邓亚琦;罗振

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2015-01-27 出版日期:2016-06-20 发布日期:2016-07-16
通讯作者: 王珏
作者简介:王珏(1989-)，男，西安电子科技大学博士研究生，E-mail: xdwangjue@163.com．
基金资助:
教育部创新团队计划资助项目(IRT0954)；国家自然科学基金资助项目(61401526)

Multistatic passive radar imaging algorithm for the gapped aperture

WANG Jue;WANG Jun;WU Yong;DENG Yaqi;LUO Zhen

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)

Received:2015-01-27 Online:2016-06-20 Published:2016-07-16
Contact: WANG Jue

摘要/Abstract

摘要：

窄带外辐射源数目通常稀少且分布不均匀，在实际情况下一般不能够利用多个外辐射源对目标成像．针对单个外辐射源，提出通过部署多个接收站的方式来等效合成孔径以对目标成像．首先分析了多基地外辐射源雷达成像系统的目标回波形式，得到了目标散射函数与雷达接收信号之间的傅里叶变换对关系；然后利用目标散射点的稀疏先验知识，借助压缩感知算法恢复目标散射系数;最后利用模拟退火算法对接收站的位置进行优化，以降低字典矩阵的列相关系数．仿真结果表明，在等效子孔径不能形成完整孔径时，所提方法可以明显地改善图像重构性能．

关键词: 多站无源成像, 压缩感知, 合成孔径, 单发多收模式, 优化布站

Abstract:

Due to usually a small number of narrowband external illuminators and their uneven distribution, a single external illuminator and several receivers are used to synthetize aperture equivalently. The form of the target echo of the multistatic passive radar system is analyzed, and then the relationship of Fourier transform pair between target scattering function and the echo received by radar is deduced. Based on the prior knowledge of sparse distribution of the target, the algorithm of Compressed Sensing is used to recover the scattering coefficient of targets. Finally, the positions of receivers have been optimized by minimizing the correlation of the dictionary matrix based on minimizing the correlation coefficient of the dictionary matrix by the algorithm of Simulated Annealing (SA). Simulations show that the performance of the recovery of the image is improved significantly after optimizing.

Key words: multistatic passive radar imaging, compressed sensing, synthetic aperture, single external illuminator, optimal positions of receivers

王珏;王俊;武勇;邓亚琦;罗振. 缺失孔径下多基地外辐射源雷达成像算法[J]. 西安电子科技大学学报, 2016, 43(3): 25-30.

WANG Jue;WANG Jun;WU Yong;DENG Yaqi;LUO Zhen. Multistatic passive radar imaging algorithm for the gapped aperture[J]. Journal of Xidian University, 2016, 43(3): 25-30.

参考文献

［1］ CETIN M, STOJANOVIC I, ONHON O, et al. Sparsity-driven Synthetic Aperture Radar Imaging: Reconstruction, Autofocusing, Moving Targets, and Compressed Sensing ［J］. IEEE Signal Processing Magazine, 2014, 31(4): 27-40.
［2］ MARTORELLA M, GIUSTI E. Theoretical Foundation of Passive Bistatic ISAR Imaging ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(3): 1647-1659.
［3］ GARRY J L, BAKER C J, SMITH G E, et al. Investigations toward Multistatic Passive Radar Imaging ［C］//2014 IEEE Radar Conference. Piscataway: IEEE, 2014: 0607-0612.
［4］ WU Y, MUNSON D C Jr. Multistatic Synthetic Aperture Imaging Of Aircraft Using Reflected Television Signals ［C］//Proceedings of the SPIE: 4382. Bellingham: SPIE, 2001: 1-12.
［5］ STOJANOVIC I, KARL W C, CETIN M. Compressed Sensing of Monostatic and Multi-static SAR［EB/OL］. ［2015-01-12］. http://research.sabanciuniv.edu/13313/1/stojanovic_Dss09.pdf.
［6］王大海, 王俊. 单发多收模式下无源雷达成像研究［J］. 电子学报, 2006, 34(6): 1138-1141.
WANG Dahai, WANG Jun. Research of Passive Radar Imaging Using Single External Illuminator and Multiple Receivers ［J］. Acta Electronica Sinica, 2006, 34(6): 1138-1141.
［7］吴昊, 苏卫民, 陈刚, 等. 基于压缩感知的多基地无源雷达成像算法［J］. 宇航学报, 2012, 33(11): 1681-1689.
WU Hao, SU Weimin, CHEN Gang, et al. Passive Multistatic Radar Imaging Algorithm Based on Compressed Sensing ［J］. Journal of Astronautics, 2012, 33(11): 1681-1689.
［8］贺亚鹏, 朱晓华, 庄珊娜, 等. 压缩感知雷达波形优化设计［J］. 南京理工大学学报, 2011, 35(4): 519-524.
HE Yapeng, ZHU Xiaohua, ZHUANG Shanna, et al. Optimal Waveform Design for Compressive Sensing Radar ［J］. Journal of Nanjing University of Science and Technology, 2011, 35(4): 519-524.
［9］ YARMAN C E, WANG L. Doppler Synthetic Aperture Hitchhiker Imaging ［J］. Inverse Problems, 2010, 26(6): 065006.
［10］张馨文, 王俊. 基于多电视台子孔径综合的无源雷达成像算法［J］. 电子与信息学报, 2007, 29(3): 528-531.
ZHANG Xinwen, WANG Jun. Passive Radar Imaging Algorithm Based on Sub-apertures Synthesis of Multiple Television Stations ［J］. Journal of Electronics ＆ Information Technology, 2007, 29(3): 528-531.
［11］ DONOHO D L. Compressed Sensing［J］. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
［12］ CANDES E J, WAKIN M B. An Introduction to Compressive Sampling ［J］. IEEE Signal Processsing Magazine, 2008, 25(2): 21-30.
［13］ MOHIMANI H, BABAIE-ZADEH M, JUTTEN C. A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed Norm ［J］. IEEE Transactions on Signal Processing, 2009, 57(1): 289-301.
［14］ ELAD M. Optimized Projections for Compressed Sensing［J］. IEEE Transactions on Signal Processing, 2007, 55(12): 5695-5702.
［15］ PATEL V M, EASLEY G R, HEALY D M, et al. Compressed Synthetic Aperture Radar［J］. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 244-254.
［16］ SUMAN B. Simulated Annealing［J］. Encyclopedia of Operations Research and Management Science, 2013, 43(1): 1395-1404.

[1]	王昕,常贵清,池琛琛. 广角SAR各向异性散射目标分离成像[J]. 西安电子科技大学学报, 2021, 48(2): 109-116.
[2]	陆金文,闫华,殷红成,张磊,董纯柱. 用于三维散射中心SBR建模的边缘绕射修正[J]. 西安电子科技大学学报, 2021, 48(2): 117-124.
[3]	李海鹏,冯大政,周永伟. 多基地雷达栅栏覆盖的优化布站方法[J]. 西安电子科技大学学报, 2021, 48(2): 147-155.
[4]	陶毅,丁丽. 利用共轭对称性的数字IQ频域校准方法[J]. 西安电子科技大学学报, 2021, 48(2): 181-189.
[5]	胡利平,闫华,钟卫军,殷红成,王超. 舰船目标三维散射中心建模及SAR快速仿真方法[J]. 西安电子科技大学学报, 2021, 48(2): 72-83.
[6]	段崇棣,韩超垒,杨志伟,张庆君. 一种杂波分类辅助的近海岸模糊杂波抑制方法[J]. 西安电子科技大学学报, 2021, 48(2): 64-71.
[7]	杨军,周芳. 分布式小卫星MIMO-SAR超高分辨成像方法[J]. 西安电子科技大学学报, 2021, 48(2): 99-108.
[8]	王志浩,张金松,孙光才,李军,邢孟道. 一种联合多特征量的SAR人造微弱痕迹检测方法[J]. 西安电子科技大学学报, 2019, 46(6): 131-139.
[9]	杨磊,岳云泽,李埔丞,章涛,杨桓. 多地面运动目标大动态SAR成像稀疏表示[J]. 西安电子科技大学学报, 2019, 46(5): 31-40.
[10]	郭睿,臧博,彭树铭,邢孟道. 高分辨InSAR中的城市高层建筑特征提取[J]. 西安电子科技大学学报, 2019, 46(4): 137-143.
[11]	周雪芹,冯象初,景明利. 一种自适应的拟牛顿投影稀疏信号恢复算法[J]. 西安电子科技大学学报, 2019, 46(3): 14-19.
[12]	曾创展,朱卫纲,贾鑫. 一种稀疏孔径逆合成孔径雷达成像算法[J]. 西安电子科技大学学报, 2019, 46(3): 123-129.
[13]	梁毅, 李晴晴, 孙昆, 党彦锋, 丁金闪. 利用SAR图像匹配的弹体定位新方法[J]. 西安电子科技大学学报, 2018, 45(6): 1-6.
[14]	孙宸, 成立业. 空间感知矩阵学习的极化SAR图像分类[J]. 西安电子科技大学学报, 2018, 45(6): 92-98.
[15]	刘建歌, 慕德俊. 一种SAR影像冰水边缘线提取算法[J]. 西安电子科技大学学报, 2018, 45(6): 106-111.

缺失孔径下多基地外辐射源雷达成像算法

Multistatic passive radar imaging algorithm for the gapped aperture

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10