Novel micro-doppler signature extraction method of ballistic midcourse target

Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (1): 265-270.

Novel micro-doppler signature extraction method of ballistic midcourse target

LEI Teng1，2, LIU Jinmang1, LI Song1, HU Guoping1

1.Air and Missile Defense Institute, Air Force Engineering University, Xi’an 710051, China
2.Unit 95859 of PLA, China

Online:2013-01-01 Published:2013-01-16

弹道目标进动周期特征提取新方法

雷腾1，2，刘进忙1，李松1，胡国平1

1.空军工程大学防空反导学院，西安 710051
2.中国人民解放军95859部队

Abstract

Abstract: The identification of ballistic midcourse targets is always the difficult point in anti-missile system, while a new approach to identify the warhead is provided by the micro-Doppler of ballistic target. According to the characteristics of precession ballistic targets, the mathematical model of pyramidal ballistic missile warhead is established. Applying RSPWVD time-frequency transform to extracting the micro-Doppler signal, RSPWVD is seen as the best compared with WVD and SPWVD through simulation figures. Furthermore, an innovative method based on micro-Doppler time-frequency image to extract precession period is proposed. The results of simulation suggest that the innovative method has high precision and good performance of anti-noise.

Key words: ballistic target, micro-Doppler, micro-motion, precession period

摘要： 中段弹道目标识别一直是反导作战中的技术难点，而弹道目标微动产生的微多普勒信号为雷达识别弹头和诱饵提供了一种新的途径。针对弹道目标的进动特性，建立了锥体弹头的进动微多普勒模型，引入了时频重排平滑伪Wigner-
Ville分布（RSPWVD）对锥体弹头的微多普勒信号进行了提取，仿真比较了Wigner-Ville分布（WVD）、平滑伪Wigner-Ville分布（SPWVD）和RSPWVD的提取结果，证明了RSPWVD在提取弹道目标微多普勒信号中的优越性，提出了一种基于微多普勒时频图的弹道目标进动周期特征提取新方法。仿真结果表明该方法具有很好的估计精度和抗噪性。

关键词: 弹道目标, 微多普勒, 微动, 进动周期

LEI Teng1，2, LIU Jinmang1, LI Song1, HU Guoping1. Novel micro-doppler signature extraction method of ballistic midcourse target[J]. Computer Engineering and Applications, 2013, 49(1): 265-270.

雷腾1，2，刘进忙1，李松1，胡国平1. 弹道目标进动周期特征提取新方法[J]. 计算机工程与应用, 2013, 49(1): 265-270.

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