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基于功率谱AMSF的微动特征提取算法

空军预警学院学报Issue(3):190-194,5.
空军预警学院学报Issue(3):190-194,5.DOI:10.3969/j.issn.2095-5839.2013.03.010

基于功率谱AMSF的微动特征提取算法

Extraction Algorithm of Micro-motion Characteristics Based on Power Spectrum AMSF

摘要

Abstract

The technique of micro-motion characteristics extraction with the core of estimation of rotation period is a base for imaging and identification of spinning target, chips, warhead and other targets in space, the accuracy of rotating speed estimation would affect directly the results of imaging and identification. Starting from the narrow band radar scattering mechanism of rotating target, this paper brings forward a model for the fundamental frequency echo of rotation scattering points. In terms of the features that rotating motion results in narrow band echo being SFM signals with multiple components, the spectrum of SFM signals is analyzed, and the extraction algorithm of micro-motion characteristics based on signal power spectrum is proposed, on the basis of its period features. By simulation, it is proved that this proposed algorithm has a higher precision and stability, thus possessing a better application prospect.

关键词

旋转目标/转速估计/微动特征提取/平均幅度和函数

Key words

rotational target/rotating speed estimation/extraction of micro-motion characteristics/AMSF

分类

电子信息工程

引用本文复制引用

..基于功率谱AMSF的微动特征提取算法[J].空军预警学院学报,2013,(3):190-194,5.

空军预警学院学报

2097-180X

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