Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (2): 357-360.

• 传感器与信号处理 • 上一篇    下一篇

自旋进动目标的微多普勒特征分析

孙慧霞, 刘峥, 薛宁   

  1. 西安电子科技大学雷达信号处理重点实验室, 陕西, 西安, 710071
  • 收稿日期:2007-09-21 修回日期:2008-03-10 出版日期:2009-02-20 发布日期:2010-01-03
  • 作者简介:孙慧霞(1983- ),女,博士研究生,主要研究方向为雷达探测与目标识别.E-mail:huixiasun2004@163.com

Micro-Doppler analysis of spinning-precession targets

SUN Hui-xia, LIU Zheng, XUE Ning   

  1. Natioanl Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China
  • Received:2007-09-21 Revised:2008-03-10 Online:2009-02-20 Published:2010-01-03

摘要: 针对弹道导弹防御系统中弹头目标的自旋进动特性,建立了锥体目标的自旋进动模型,引入微多普勒效应的有关概念,推导出了由自旋进动产生的微多普勒频率的数学表达式,利用高分辨的时频变换对微多普勒特征进行分析,并用仿真实验验证了该模型的正确性.针对时频图,提取能反映目标质量特性的特征量,为识别此类目标提供了新的途径.通过仿真实验证明了在低信噪比时所提取特征的有效性.

Abstract: Aiming at the spinning-precession features of a ballistic missile warhead,a model of spinning-precession for the ballistic missile warhead is established,and the mathematics of micro-Doppler signatures caused by spinning-precession is derived.Then the micro-Doppler features are analyzed by using high-resolution time-frequency transform,and the validity of the model is verified by computer simulations.The feature which can reflect the mass of the target is extracted from the time-frequency plane,thus a new method is provided for recognizing such targets.Finally the validity of the feature extracted in this paper is verified by computer simulations even with low SNR.

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