航空学报 > 2014, Vol. 35 Issue (8): 2279-2285   doi: 10.7527/S1000-6893.2014.0041

一种机载合成孔径雷达自主定位算法

宋伟1,2, 朱岱寅1, 叶少华2,李勇1   

  1. 1. 南京航空航天大学 电子信息工程学院, 江苏 南京 210016;
    2. 中航工业雷华电子技术研究所, 江苏 无锡 214063
  • 收稿日期:2013-11-06 修回日期:2014-04-04 出版日期:2014-08-25 发布日期:2014-04-09
  • 通讯作者: 宋伟,Tel.:0510-85707927,E-mail:sw_818@163.com E-mail:sw_818@163.com
  • 作者简介:宋伟男,博士研究生,高级工程师。主要研究方向:机载合成孔径雷达信号处理。Tel:0510-85707927,E-mail:sw_818@163.com;朱岱寅男,博士,教授,博士生导师。主要研究方向:合成孔径雷达信号处理。E-mail:zhudy@nuaa.edu.cn;叶少华男,博士,研究员。主要研究方向:机载合成孔径雷达系统;李勇男,博士,副教授。主要研究方向:机载合成孔径雷达成像。
  • 基金资助:

    航空科学基金(20132007001);国防基础科研计划(B2520110008);南京航空航天大学基本科研业务费(NS2013023)

A Autonomous Location Algorithm of Airborne Synthetic Aperture Radar

SONG Wei1,2, ZHU Daiyin1, YE Shaohua2, LI Yong1   

  1. 1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. AVIC Leihua Electronic Technology Research Institute, Wuxi 214063, China
  • Received:2013-11-06 Revised:2014-04-04 Online:2014-08-25 Published:2014-04-09
  • Supported by:

    Aeronautical Science Foundation of China (20132007001);Defense Industrial Technology Development Program(B2520110008);NUAA Fundamental Research Funds(NS2013023)

摘要:

针对机载合成孔径雷达(SAR)的应用,开展机载SAR自主定位技术研究,提出通过对目标所在区域多次成像进行机载SAR自主定位的算法。该算法不受载机速度和角度误差的影响,仅利用载机瞬时位置和雷达与目标之间的距离,能够大幅提高机载SAR自主定位精度;并在载机凝视目标飞行时提出基于最小二乘的定位算法,进一步提高定位精度。最后对机载SAR实测试飞数据进行处理,并与传统的基于距离多普勒(R-D)模型的定位方法进行了比较,处理结果验证了提出的算法能够大幅提高机载SAR自主定位精度。

关键词: 机载, 合成孔径雷达, 自主定位, 定位精度, 最小二乘

Abstract:

Aimed at the application of airborne synthetic aperture radar (SAR), airborne SAR autonomous location technology is studied in this paper. A new location algorithm by imaging the area of the target repeatedly is proposed. This algorithm will not be influenced by the velocity error and angle error of the platform and it only uses the carrier aircraft instantaneous position and the distance between the radar and the target, which can significantly improve the location precision of airborne SAR. A location algorithm based on the least square method is analytically derived when carrier craft flights staring at target, which can further improve the location precision. Finally, the new presented method is compared with SAR location techniques based on the traditional R-D model. Real data processing results demonstrate that the new algorithm proposed in the paper can improve the location precision significantly.

Key words: airborne, synthetic aperture radar, autonomous location, location precision, least square

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