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前视阵列SAR回波稀疏采样及其三维成像方法

刘向阳 王静 牛德智 杜宇扬 刘许刚

电子学报2017,Vol.45Issue(1):74-82,9.
电子学报2017,Vol.45Issue(1):74-82,9.DOI:10.3969/j.issn.0372-2112.2017.01.011

前视阵列SAR回波稀疏采样及其三维成像方法

The Method on Echo Sparse Sampling and Three-Dimensional Imaging for Forward-Looking Array SAR

刘向阳 1王静 2牛德智 1杜宇扬 1刘许刚1

作者信息

  • 1. 西安通信学院,陕西西安710106
  • 2. 长安大学信息工程学院,陕西西安710064
  • 折叠

摘要

Abstract

For the problem of high slant-range sampling ratio and huge echo data volume in the high-resolution three-dimensional imaging system of forward-looking array SAR,the joint two-dimensional sparse sampling method in the domain of slant-range frequency and along-track time and its sparse reconstruction method for the three-dimensional imaging of the scene is presented,which is based on the sparse property of the scatterers in the three-dimensional space.From the perspective of forward-looking array SAR to observe the three-dimensional ground,the scatterers in the ground are sparse in the joint space of the slant-range direction and the along-track direction.To avoid the effect of the sparse sampling in the slant-range direction on the three-dimensional imaging,the solution of sub-pulse technique and the sparse sampling in the slant-range frequency is presented to accomplish the sparse sampling in the slant-range direction.Also,the sparse reconstruction method,which is combined with the continuity of the scatterers,is proposed to increase the robustness in the situation of low signalto-noise ratio.Compared to the traditional imaging method with three-dimensional matched filtering,the method in this paper reduces the slant-range sampling ratio and the echo data volume,and the three-dimensional image can be directly reconstructed using the recovered scatterers.

关键词

三维成像/前视阵列SAR/稀疏采样/压缩感知成像

Key words

three-dimensional imaging/forward-looking array SAR/sparse sampling/compressive sensing imaging

分类

信息技术与安全科学

引用本文复制引用

刘向阳,王静,牛德智,杜宇扬,刘许刚..前视阵列SAR回波稀疏采样及其三维成像方法[J].电子学报,2017,45(1):74-82,9.

基金项目

国家自然科学基金(No.61101243,No.61101238,No.61640006) (No.61101243,No.61101238,No.61640006)

陕西省自然科学基金(No.2014JQ8300,No.2015JM6307) (No.2014JQ8300,No.2015JM6307)

电子学报

OA北大核心CSCDCSTPCD

0372-2112

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