基于设计结构化Gram矩阵的ISAR运动补偿方法

doi:10.3969/j.iss.0372-2012-2014.03.006

电子学报 ›› 2014, Vol. 42 ›› Issue (3): 452-461.DOI: 10.3969/j.iss.0372-2012-2014.03.006

基于设计结构化Gram矩阵的ISAR运动补偿方法

俞翔, 朱岱寅, 张劲东, 蒋锐

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:2012-11-16 修回日期:2013-07-23 出版日期:2014-03-25
- 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
- 基金资助:
- 国家自然科学基金 (No.61071165，No.61201367）; 江苏省自然科学基金 (No.BK2012382）; 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）; 南京航空航天大学基本科研业务费专项资助 (No.NS2013023）

A Motion Compensation Algorithm Based on the Designing Structured Gram Matrices

YU Xiang, ZHU Dai-yin, ZHANG Jing-dong, JIANG Rui

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

Received:2012-11-16 Revised:2013-07-23 Online:2014-03-25 Published:2014-03-25
- Supported by:
- National Natural Science Foundation of China (No.61071165, No.61201367); Natural Science Foundation of Jiangsu Province, China (No.BK2012382); 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); the Fundamental Research Funds for Nanjing University of Aeronautics and Astronautics (No.NS2013023)

摘要/Abstract

摘要： 运动补偿是ISAR（Inverse Synthetic Aperture Radar）成像算法中的重要步骤.本文将运动补偿归结为多参数估计问题，基于设计结构化Gram 矩阵的最优化理论提出了一种运动补偿方法.该方法可分为距离对准和相位补偿两部分，其中距离对准算法通过让所有距离像之间的相关性同时逼近最大值的准则实现偏移量的估计，而相位补偿算法则通过分析信号模型推导出最优矩阵从而利用最优化方法提取相位误差.实测数据处理结果表明，这两种算法都具有较强的鲁棒性和较高的估计精度，是一种有效的运动补偿方法.

关键词: ISAR, 结构化Gram矩阵, 距离对准, 相位补偿, 压缩感知

Abstract: Motion compensation is a key procedure in ISAR (Inverse Synthetic Aperture Radar)imaging.The motion compensation can be viewed as a multi-parameter estimation problem.Based on the designing structured Gram matrices optimization,a motion compensation method is put forward.This method consists of two parts:the range alignment algorithm and the phase compensation algorithm.The former estimates the offset of each range profile based on a criterion,which makes correlations among all range profiles approaching to maximum values simultaneously.And the latter can extract phase errors by means of the optimization method,in which the optimal matrix is derived from analysis on the signal model.The measured data processing result shows that the motion compensation method has strong robustness and high estimation accuracy.

Key words: ISAR(Inverse Synthetic Aperture Radar), structured Gram matrices, range alignment, phase compensation, compressed sensing

中图分类号:

TN957.52

俞翔, 朱岱寅, 张劲东, 等. 基于设计结构化Gram矩阵的ISAR运动补偿方法[J]. 电子学报, 2014, 42(3): 452-461.

YU Xiang, ZHU Dai-yin, ZHANG Jing-dong, et al. A Motion Compensation Algorithm Based on the Designing Structured Gram Matrices[J]. Acta Electronica Sinica, 2014, 42(3): 452-461.

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基于设计结构化Gram矩阵的ISAR运动补偿方法

A Motion Compensation Algorithm Based on the Designing Structured Gram Matrices

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