基于先验知识的SAR两维自聚焦算法

doi:10.3969/j.issn.0372-2112.2013.06.001

电子学报 ›› 2013, Vol. 41 ›› Issue (6): 1041-1047.DOI: 10.3969/j.issn.0372-2112.2013.06.001

• 学术论文 • 下一篇

基于先验知识的SAR两维自聚焦算法

毛新华, 曹海洋, 朱岱寅, 朱兆达

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:2012-06-20 修回日期:2012-10-08 出版日期:2013-06-25
- 作者简介:
- 毛新华男,博士,1979年12月出生于湖南涟源.现为南京航空航天大学电子信息工程学院副教授、硕士生导师.主要研究方向为合成孔径雷达信号处理,曾获国防科技进步三等奖一项,已在国内外学术期刊和会议上发表论文20余篇. E-mail:xinhua@nuaa.edu.cn
- 基金资助:
- 国防基础科研计划 (No.B2520110008); 国家自然科学基金 (No.61071165); 航空科学基金 (No.20102052024); 第三批中国博士后科学基金特别资助 (No.201003586); 中央高校基本科研业务费专项资金 (No.NS2012097); 江苏高校优势学科建设工程资助项目; 教育部博士点基金 (No.20123218120021)

Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar

MAO Xin-hua, CAO Hai-yang, ZHU Dai-yin, ZHU Zhao-da

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

Received:2012-06-20 Revised:2012-10-08 Online:2013-06-25 Published:2013-06-25
- Supported by:
- National Natural Science Foundation of China (No.B2520110008); National Natural Science Foundation of China (No.61071165); Aeronautical Science Foundation of China, ASFC (No.20102052024); Specially Supported by The Third Batch of China Postdoctoral Science Foundation (No.201003586); Fundamental Research Funds for the Central Universities (No.NS2012097); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions; Ph.D. Programs Foundation of Ministry of Education of China (No.20123218120021)

摘要/Abstract

摘要： 传统的SAR(Synthetic Aperture Radar)两维自聚焦算法没有充分挖掘残留相位误差所特有的内部结构信息,是对残留相位误差的一种盲估计,实际应用时在估计精度和计算效率等方面还受到一定限制.本文以极坐标格式算法为例,详细分析了成像算法处理后残留两维相位误差的解析结构,并利用这种先验辅助知识,提出了一种基于一维估计/两维校正的自聚焦算法.算法只需直接估计方位一维相位误差,然后利用两维相位误差内部所特有的结构信息,将一维相位误差映射得到两维相位误差,从而实现精确的两维自聚焦.实测数据处理结果验证了本文算法的有效性.

关键词: 合成孔径雷达, 两维自聚焦, 先验知识辅助, 极坐标格式算法

Abstract: Conventional two dimensional(2D)autofocus algorithms didn't take advantage of the priori information on the structure of phase error.They often suffered from lack of redundancy to accurately estimate the 2D phase error.In this paper,a knowledge aided(KA)2D autofocus approach is presented,which is based on exploiting the priori knowledge on the phase error structure.First,as a prerequisite for the proposed KA method,the analytical structure of residual 2D phase error in SAR (Synthetic Aperture Radar)imagery is investigated in the polar format algorithm framework.Then,by incorporating this prior information,a 2D autofocus approach is proposed.The new method only requires an estimate of azimuth 1D phase error,while the 2D phase errors can then be computed directly from the estimated azimuth phase error.Experimental results indicate the effectiveness of the proposed method.

Key words: synthetic aperture radar, 2D autofocus, prior knowledge aided, polar format algorithm

中图分类号:

TN958

毛新华, 曹海洋, 朱岱寅, 等. 基于先验知识的SAR两维自聚焦算法[J]. 电子学报, 2013, 41(6): 1041-1047.

MAO Xin-hua, CAO Hai-yang, ZHU Dai-yin, et al. Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar[J]. Acta Electronica Sinica, 2013, 41(6): 1041-1047.

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基于先验知识的SAR两维自聚焦算法

Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar

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