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基于霍夫变换的合成孔径雷达大动态反射系数微动目标检测

Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR.

作者信息

Zhou Yang, Bi Daping, Shen Aiguo, Wang Xiaoping, Wang Shuliang

机构信息

College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China.

出版信息

Sensors (Basel). 2019 Jul 22;19(14):3227. doi: 10.3390/s19143227.

DOI:10.3390/s19143227
PMID:31336688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679508/
Abstract

Special phase modulation of SAR echoes resulted from target rotation or vibration, is a phenomenon called the micro-Doppler (m-D) effect. Such an effect offers favorable information for micro-motion (MM) target detection, thereby improving the performance of the synthetic aperture radar (SAR) system. However, when there are MM targets with large differences in reflection coefficient, the weak reflection components will be difficult to be detected. To find a solution to this problem, we propose a novel algorithm. First, we extract and detect the strongest reflection component. By removing the strongest reflection component from the original azimuth echo one by one, we realize the detection of reflection components sequentially, from the strongest to the weakest. Our algorithm applies to detecting MM targets with different reflection coefficients and has high precision of parameter estimation. The results of simulation and field experiments verify the advantages of the algorithm.

摘要

由目标旋转或振动导致的合成孔径雷达(SAR)回波的特殊相位调制,是一种被称为微多普勒(m-D)效应的现象。这种效应为微运动(MM)目标检测提供了有利信息,从而提高了合成孔径雷达(SAR)系统的性能。然而,当存在反射系数差异较大的MM目标时,弱反射分量将难以被检测到。为了解决这个问题,我们提出了一种新颖的算法。首先,我们提取并检测最强反射分量。通过从原始方位回波中逐个去除最强反射分量,我们实现了从最强到最弱依次检测反射分量。我们的算法适用于检测具有不同反射系数的MM目标,并且具有较高的参数估计精度。仿真和现场实验结果验证了该算法的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c309/6679508/4f881e566104/sensors-19-03227-g015.jpg
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