基于贝塞尔函数基信号分解的微动群目标特征提取方法

doi:10.11999/JEIT161036

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Abstract

Micro-Doppler (m-D) feature extraction is significant for group target discrimination, while the methods for single target are invalid. An m-D feature extraction method of group targets is proposed based on signal orthogonal decomposition. First, the Sinusoidal Frequency-Modulated (SFM) form of m-D signals and the decomposition result of the phase term on k-resolution Bessel basis is deduced. The m-D frequency is coarsely estimated by the one-to-one relationship between frequencies and basis functions. Then an algorithm is introduced to reduce the error and thus a finer estimation is obtained. Finally, the m-D frequency of each target is extracted by discrete echoes without phase shift ambiguity. Simulation experiments validate the effectiveness, and show that the proposed method outperforms the Sinusoidal Frequency Modulation Fourier Transform (SFMFT)-based method and Average Magnitude Difference Function (AMDF)-based method in estimation precision.

Key words： Micro-Doppler (m-D) Group targets Bessel function basis Feature extraction Parameter estimation

Received: 08 October 2016 Published: 02 December 2016

PACS:	V243.2
	TN971.1

Fund:

The National Natural Science Foundation of China (61471386, 61571457)

Corresponding Authors: HE Qifang E-mail: qifanghe@163.com

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	ZHANG Qun
	HE Qifang
	LUO Ying

Cite this article:

ZHANG Qun,HE Qifang,LUO Ying. Micro-Doppler Feature Extraction of Group Targets Using Signal Decomposition Based on Bessel Function Basis[J]. JEIT, 2016, 38(12): 3056-3062.

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http://jeit.ie.ac.cn/EN/10.11999/JEIT161036 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I12/3056

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