一种ISAR二维压缩感知成像的运动补偿方法

doi:10.3969/j.issn.0372-2112.2012.09.013

电子学报 ›› 2012, Vol. 40 ›› Issue (9): 1783-1789.DOI: 10.3969/j.issn.0372-2112.2012.09.013

一种ISAR二维压缩感知成像的运动补偿方法

俞翔, 朱岱寅

南京航空航天大学电子信息工程学院, 江苏南京 210016

收稿日期:2011-09-16 修回日期:2012-04-17 出版日期:2012-09-25
- 作者简介:
- 俞翔 男,1982年10月出生于江苏省南京市.现就读于南京航空航天大学通信与信息系统专业,博士研究生.主要研究方向:逆合成孔径雷达成像技术. E-mail:cwal20@163.com 朱岱寅 男,1974年7月出生于江苏省无锡市.1996年本科毕业于东南大学无线电工程系,分别于1998年和2002年在南京航空航天大学电子工程系获硕士和博士学位.现为南航电子工程系教授、博士生导师,IEEE会员,主要从事雷达成像和信号处理方面的研究. E-mail:zhudy@nuaa.edu.cn
- 基金资助:
- 国家自然科学基金 (No.61071165); 国防基础科研计划资助 (No.B2520110008); 教育部新世纪优秀人才支持计划 (No.NCET-09-0069)资助课题; 航空科学基金 (No.20102052024); 中央高校基本科研业务费专项资助 (No.NS2012097)

A Motion Compensation Algorithm for 2-Dimensional Compressed ISAR Imaging

YU Xiang, ZHU Dai-yin

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China

Received:2011-09-16 Revised:2012-04-17 Online:2012-09-25 Published:2012-09-25
- Supported by:
- National Natural Science Foundation of China (No.61071165); supported by National Defense Basic Scientific Research Program of China (No.B2520110008); Program for New Century Excellent Talents in University of Ministry of Education of China (No.NCET-09-0069); Aeronautical Science Foundation of China, ASFC (No.20102052024); Fundamental Research Funds for the Central Universities (No.NS2012097)

摘要/Abstract

摘要： 通过发射一组具有随机脉冲重复间隔(PRI)的线性调频信号,并对经过去斜率(Deramp)处理的回波信号随机下采样,可以得到目标的二维随机观测回波数据.本文通过分析该类回波信号的模型和信号的稀疏性,针对ISAR(Inverse Synthetic Aperture Radar)二维压缩感知成像技术提出了一种运动补偿算法.实测数据处理结果表明,本文提出的算法可以有效地针对ISAR二维随机观测回波数据实现运动补偿.

关键词: ISAR, 二维压缩感知, 运动补偿, 距离对准, 相位补偿

Abstract: Transmitting a group of chirp signal with random PRI(Pulse Repetition Interval) and down-sampling echoes after deramp processing,we get the 2-dimensional sparse echoes of the target and process the 2-dimensional sparse echoes with compressed sensing method.We utilize this method to improve the efficiency of the ISAR imaging system and also decrease the data rate of the system.A new motion compensation algorithm is put forward through the analysis on the signal model.The new algorithm includes range alignment and phase compensation procedures.The minimizing the entropy of the average range profile method is implemented in the range alignment procedure,while the eigenvector method is used to accomplish phase correction procedure.The presented results show that this algorithm can realize motion compensation according to the 2-dimensional sparse echoes effectively.

Key words: ISAR, 2-dimensional compressed sensing, motion compensation, range alignment, phase compensation

中图分类号:

TN957.52

俞翔, 朱岱寅. 一种ISAR二维压缩感知成像的运动补偿方法[J]. 电子学报, 2012, 40(9): 1783-1789.

YU Xiang, ZHU Dai-yin . A Motion Compensation Algorithm for 2-Dimensional Compressed ISAR Imaging[J]. Acta Electronica Sinica, 2012, 40(9): 1783-1789.

参考文献

[1] ZHANG L,XING M D.Resolution Enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing[J].IEEE Transaction on Geoscience and Remote Sensing,2010,48(10):3824-3838.
[2] WANG H X,QUAN Y H,XING M D,ZHANG S H.ISAR imaging via sparse probing frequencies[J].IEEE Geoscience and Remote Sensing Letters,2011,8(3):451-455.
[3] 谢晓春,张云华.基于压缩感知的二维雷达成像算法[J].电子与信息学报,2010,32(5):1234-1238. Xie Xiao-chun,Zhang Yun-hua.2D radar imaging scheme based on compressive sensing technique[J].Journal of Electronics and Information Technology,2010,32(5):1234-1238.
[4] XIE X C,ZHANG Y H.High-resolution imaging of moving train by ground-based radar with compressive sensing[J].IEEE Geoscience and Remote Sensing Letters,2010,46(7):529-531.
[5] F Ye, D Liang.ISAR enhancement technology based on compressed sensing[J].IEEE Electronic Letters,2011,47(10):620-621.
[6] ZHANG L,QIAO Z J,XING M D,LI Y C,BAO Z.High-resolution ISAR imaging with sparse stepped-frequency waveforms[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(11):4630-4651.
[7] ZHANG L,XING M D.Achieving higher resolution ISAR imaging with limited pulses via compressed sampling[J].IEEE Geoscience and Remote Sensing Letters,2009,6(3):567-571.
[8] ZHANG L,QIAO Z J,XING M D.High-resolution ISAR imaging by exploiting sparse apertures[J].IEEE Transactions on Antennas and Propagation,2012,60(2):997-1008.
[9] 焦李成,杨淑媛,刘芳,侯彪.压缩感知回顾与展望[J].电子学报,2011,39(7):1651-1662. JIAO Li-cheng,YANG Shu-yuan,LIU Fang,HOU Biao.Development and prospect of compressive sensing[J].Acta Electronica Sinica,2011,39(7):1651-1662.
[10] 张宗念,黄仁泰,闫敬文.压缩感知信号盲稀疏度重构算法[J].电子学报,2011,39(1):18-22. ZHANG Zong-nian,HUANG Ren-tai,YAN Jing-wen.A blind sparsity reconstruction algorithm for compressed sensing signal[J].Acta Electronica Sinica,2011,39(1):18-22.
[11] J H G,Ender.On compressive sensing applied to radar[J].Signal Processing,2010, 90(3):1402-1414.
[12] Chen C C,Andrews H C.Target motion induced radar imaging[J].IEEE Transactions on Aerospace and Electronic Systems,1980,16(1):2-14.
[13] 王根源,保铮.逆合成孔径雷达运动补偿中包络对齐的新方法[J].电子学报,1998,26(6):5-8. WANG Gen-yuan,BAO Zheng.A new algorithm of range alignment in ISAR motion compensation[J].Acta Electronica Sinica,1998,26(6):5-8.
[14] 汪玲,朱兆达.一种基于最大修正峰度的ISAR距离对准算法[J].南京航空航天大学学报,2006,38(6):722-726. WANG Ling,ZHU Zhao-da.New range alignment algorithm for ISAR based on maximum modified kurtosis[J].Journal of Nanjing University of Aeronautics and Astronautics, 2006,38(6):722-726.
[15] ZHU D Y,WANG L.Robust ISAR range alignment via minimizing the entropy of the average range profile[J].IEEE Geoscience and Remote Sensing Letters,2009,6(2):204-208.
[16] C V Jakowatz,D E Wahl.Eigenvector method for maximum-likelihood estimation of phase errors in synthetic aperture radar imagery[J].Journal of the Optical Society of America,1993,10(12):2539-2546.
[17] Joel A Tropp and Anna C Gilbert.Signal recovery from random measurements via orthogonal matching pursuit[J].IEEE Transactions on Information Theory,2007,53(12):4655-4666.
[18] WANG J F,LIU X Z.Improved global range alignment for ISAR[J].IEEE Transactions on Aerospace and Electronic Systems,2007,43(3):1070-1075.

一种ISAR二维压缩感知成像的运动补偿方法

A Motion Compensation Algorithm for 2-Dimensional Compressed ISAR Imaging

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