弹道中段微多普勒分离与提取仿真研究

doi:10.16182/j.issn1004731x.joss.201706006

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (6): 1201-1209.doi: 10.16182/j.issn1004731x.joss.201706006

弹道中段微多普勒分离与提取仿真研究

王义哲, 冯存前, 李靖卿

空军工程大学防空反导学院,陕西西安 710051

收稿日期:2015-07-13 修回日期:2015-10-09 出版日期:2017-06-08 发布日期:2020-06-04
作者简介:王义哲(1992-),男,河南驻马店,硕士生,研究方向为雷达信号处理;冯存前(1975-),男,陕西富平,博士,教授,硕导,研究方向为雷达信号处理与电子对抗。
基金资助:
国家自然科学基金(61372166, 61501495),陕西省自然科学基础研究计划(2014JM8308)

Research on Simulation of Multi-target Micro-Doppler Separation and Extraction in Ballistic Midcourse

Wang Yizhe, Feng Cunqian, Li Jingqing

Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received:2015-07-13 Revised:2015-10-09 Online:2017-06-08 Published:2020-06-04

摘要/Abstract

摘要： 针对弹道中段弹头和碎片的微多普勒信息在多普勒谱中交缠重叠、难以分离与提取的问题,提出了一种基于完备总体经验模态分解(CEEMD)和改进自适应Viterbi算法相结合的多目标微多普勒信号分离与提取方法。通过分析进动弹头与旋转碎片微多普勒分布的差异性,对多目标回波信号进行CEEMD分解,结合小波阈值去噪方法,对各本征模态函数(IMF)进行分层处理并累加,分离出了弹头和碎片回波。对碎片信号进行了扩展处理,利用改进自适应Viterbi算法,抽取出相应的最优路径,实现多目标信号分离与微多普勒提取。仿真表明,该方法能有效克服多目标之间的干扰及噪声的影响,较好地实现了弹道多目标分离及微多普勒提取。

关键词: 微多普勒, 完备总体经验模态分解, 多目标, Viterbi算法, 特征提取

Abstract: Aiming at the intricate overlap and difficult separation and extraction of micro-Doppler information in Doppler spectra of warheads and fragments in midcourse, a novel method based on CEEMD and improved self-adaptive Viterbi algorithm was proposed. By analyzing the differences of micro-Doppler distribution between warheads and fragments, the echo was decomposed by CEEMD and each IMF was denoised by wavelet threshold denoising method, resulting in separation of warheads and fragments echo. The fragments signal was stretched, the optimal path was extracted combined with improved self-adaptive Viterbi algorithm, and the separation of multi-target signal and extraction of micro-Doppler was realized. Simulation validates that the proposed method can overcome the interference among multi-target and noise, which can achieve multi-target signal separation and micro-Doppler extraction well.

Key words: micro-Doppler, CEEMD, multi-target, Viterbi algorithm, feature extraction

中图分类号:

TN95

王义哲, 冯存前, 李靖卿. 弹道中段微多普勒分离与提取仿真研究[J]. 系统仿真学报, 2017, 29(6): 1201-1209.

Wang Yizhe, Feng Cunqian, Li Jingqing. Research on Simulation of Multi-target Micro-Doppler Separation and Extraction in Ballistic Midcourse[J]. Journal of System Simulation, 2017, 29(6): 1201-1209.

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弹道中段微多普勒分离与提取仿真研究

Research on Simulation of Multi-target Micro-Doppler Separation and Extraction in Ballistic Midcourse

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