基于图像强度最优的SAR高精度运动补偿方法

胡克彬; 张晓玲; 师君; 韦顺军

doi:10.12000/JR15007

基于图像强度最优的SAR高精度运动补偿方法

DOI: 10.12000/JR15007

(电子科技大学电子工程学院成都 611731)

基金项目:

国家自然科学基金(61101170)，博士点基金(20110185110001)和航空科学基金(20142080007)资助课题

详细信息

作者简介:
胡克彬(1988-)，男，四川人，目前为电子科技大学工学博士研究生，主要从事高精度SAR成像技术研究。E-mail:kbhu_work@126.com 张晓玲(1964-)，女，四川人，获电子科技大学工学博士学位，目前为电子科技大学教授/博士生导师，主要从事SAR成像技术、雷达探测技术研究。E-mail:xlzhang@uestc.edu.cn 师君(1979-)，男，河南人，获电子科技大学工学博士学位，目前为电子科技大学副教授，主要从事SAR数据处理方面研究。E-mail:shijun@uestc.edu.cn 韦顺军(1983-)，男，广西人，获电子科技大学工学博士学位，目前为电子科技大学讲师，主要从事SAR成像技术、干涉SAR技术研究。E-mail:weishunjun@uestc.edu.cn

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出版历程
- 收稿日期: 2015-01-16
- 修回日期: 2015-03-05
- 网络出版日期: 2015-02-28

A High-precision Motion Compensation Method for SAR Based on Image Intensity Optimization

(School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

摘要

摘要: 由于载体平台的不稳定性和测量传感器的精度限制，运动误差成为了提高合成孔径雷达(SAR)成像质量的一个瓶颈。基于图像锐度最优的自聚焦后向投影算法通过估计相位误差进行运动补偿，具有较高精度，但这种方法假设场景中所有像素点相位误差相同，即没有考虑运动误差的空变性，导致大部分像素点仍存在残留误差，造成成像质量下降。针对运动误差空变性的问题，该文提出一种高精度运动补偿方法，该方法在图像强度最大准则下，采用最优化技术估计天线相位中心测量误差，随后利用该测量误差估计量校正天线相位中心并进行后向投影成像。由于估计天线相位中心等效于估计每个像素点的距离历史，因此该方法可以对每个像素点进行高精度相位补偿。点目标仿真和实测数据处理结果均验证了所提方法的有效性。
- 合成孔径雷达(SAR) /
- 高精度运动补偿 /
- 自聚焦后向投影 /
- 空变性
Abstract: Owing to the platform instability and precision limitations of motion sensors, motion errors negatively affect the quality of synthetic aperture radar (SAR) images. The autofocus Back Projection (BP) algorithm based on the optimization of image sharpness compensates for motion errors through phase error estimation. This method can attain relatively good performance, while assuming the same phase error for all pixels, i.e., it ignores the spatial variance of motion errors. To overcome this drawback, a high-precision motion error compensation method is presented in this study. In the proposed method, the Antenna Phase Centers (APC) are estimated via optimization using the criterion of maximum image intensity. Then, the estimated APCs are applied for BP imaging. Because the APC estimation equals the range history estimation for each pixel, high-precision phase compensation for every pixel can be achieved. Point-target simulations and processing of experimental data validate the effectiveness of the proposed method.
- Synthetic Aperture Radar (SAR) /
- High-precision motion compensation /
- Autofocus back projection /
- Spatial variance

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参考文献(18)

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