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相关技术

基于运动误差补偿的无人机载 MIMO-SAR成像

  • 黄旭华 ,
  • 李项军
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  • 1 空军工程大学导弹学院,陕西三原 713800
    2 93942部队,陕西咸阳 712000
    3 95037 部队,武汉 430070

黄旭华(1980-),女,陕西临潼人,博士研究生,研究方向:MIMO雷达信号处理。

收稿日期: 2012-03-21

  网络出版日期: 2025-05-29

An Imaging Method of Unmanned Aerial Vehicle MIMO-SAR Based on Motion Error Compensation

  • HUANG Xuhua ,
  • LI Xiangjun
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  • 1 The Missile Institute, Air Force Engineering University, Shaanxi Sanyuan 713800, China
    2 No. 93942 Unit, Shaanxi Xianyang 712000, China
    3 No. 95037 Unit, Wuhan 430070, China

Received date: 2012-03-21

  Online published: 2025-05-29

摘要

无人机载MIMO-SAR利用多通道空间并行采样的优势可实现高分辨成像,但不可避免的存在运动误差的问题,文中针对具有运动误差的无人机载MIMO-SAR成像进行研究,提出了基于运动误差补偿的MIMO-SAR成像方法。主要通过对回波信号误差模型的分析,将运动误差分解为依赖于距离和不依赖于距离的两部分,然后利用两步运动补偿技术对MIMO-SAR回波数据的运动误差项进行校正,从而有效消除运动误差实现准确成像。最后的仿真实验验证了所提方法的有效性。

本文引用格式

黄旭华 , 李项军 . 基于运动误差补偿的无人机载 MIMO-SAR成像[J]. 弹箭与制导学报, 2012 , 32(6) : 163 -166 . DOI: 10.15892/j.cnki.djzdxb.2012.06.011

Abstract

Unmanned aerial vehicle multiple-input multiple-output synthetic aperture radar (MIMO-SAR) can realize high resolution imaging by its predominance of the multichannel spatial parallel sampling, but the inevitable problem of motion compensation must to be resolved. So the imaging method of unmanned aerial vehicle MIMO-SAR based on motion compensation was proposed. The motion error was divided into two parts by analyzing the motion model of MIMO-SAR system, and then the motion error of the echo data was corrected by two steps of compensation. Finally, the effectiveness of the proposed method was proved by the simulation results.

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