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Processing of Multidimensional Waveform Encoding SAR Imaging Based on Minimum Mean Square Error

机译:基于最小均方误差的多维波形编码SAR成像处理

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摘要

This paper describes the minimum mean square error (MMSE) SAR imaging algorithm for systems using multidimensionalrnwaveform encoding. This algorithm can reconstruct the wide swath scene with fine resolution usingrnstatistical properties of the targets and noise. Especially, for the SAR system using orthogonal waveform encoding,rnit avoids the problems of orthogonality ambiguity. Kalman filter is the recursive implementation of MMSErnsolution and we investigate its implementation.
机译:本文介绍了使用多维波形编码的系统的最小均方误差(MMSE)SAR成像算法。该算法可以利用目标和噪声的统计特性重建高分辨率的宽幅场景。特别是,对于使用正交波形编码的SAR系统,rnit避免了正交歧义的问题。卡尔曼滤波器是MMSErnsolution的递归实现,我们将对其进行研究。

著录项

  • 来源
  • 会议地点 Aachen(DE);Aachen(DE)
  • 作者单位

    The National Key Laboratory of Microwave Imaging Technology (MITL), P. R. China Institute of Electronics, Chinese Academy of Sciences (IECAS), Beijing, P. R. China Graduate University of Chinese Academy of Sciences (GUCAS), Beijing, P. R. China;

    rnThe National Key Laboratory of Microwave Imaging Technology (MITL), P. R. Chinarn Institute of Electronics, Chinese Academy of Sciences (IECAS), Beijing, P. R. China;

    rnThe National Key Laboratory of Microwave Imaging Technology (MITL), P. R. Chinarn Institute of Electronics, Chinese Academy of Sciences (IECAS), Beijing, P. R. China;

    rnThe National Key Laboratory of Microwave Imaging Technology (MITL), P. R. Chinarn Institute of Electronics, Chinese Academy of Sciences (IECAS), Beijing, P. R. China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 雷达:按体制分;
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