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弹箭与制导学报 >

2015 , Vol. 35 >Issue 6: 94 - 97

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.06.024

弹道与气动力技术

基于 GSWD-Viterbi 的弹道目标微动特征提取算法

  • 李靖卿 ,
  • 冯存前 ,
  • 贺思三 ,
  • 唐东丽
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  • 空军工程大学防空反导学院,西安 710051

李靖卿(1989-),男,湖北天门人,硕士研究生,研究方向:雷达信号处理及创新战法研究。

收稿日期: 2014-09-17

  网络出版日期: 2025-05-28

基金资助

国家自然科学基金(61372166);陕西省自然科学基金(2014JM8308)资助

收起

Micro-motion Feature Extraction Algorithm of Ballistic Target Based on GSWD-Viterbi

  • LI Jingqing ,
  • FENG Cunqian ,
  • HE Sisan ,
  • TANG Dongli
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  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2014-09-17

  Online published: 2025-05-28

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摘要

针对弹道目标信号分量多、噪声敏感性强以及各散射点强度变化范围大的问题,提出一种新的弹道目标微多普勒特征提取算法。在滑动模型的基础上,首先在时域进行GSWD变换,然后通过Viterbi算法依次提取出各信号分量,最后利用逆S变换在时域内重构信号来实现降噪,并运用求和平均误差补偿方法求出目标的微多普勒信息。结果表明,该方法抗噪性好,较为准确的提取出弹道目标的微多普勒参数。

关键词： GSWD; Viterbi算法; 弹道目标; 特征提取

本文引用格式

李靖卿 , 冯存前 , 贺思三 , 唐东丽 . 基于 GSWD-Viterbi 的弹道目标微动特征提取算法[J]. 弹箭与制导学报, 2015 , 35(6) : 94 -97 . DOI: 10.15892/j.cnki.djzdxb.2015.06.024

Abstract

Since ballistic targets have several inherent problems such as multi-component, strong noise sensitivity and great dynamic characteristics of scattering point's intensity, a new feature extraction algorithm of ballistic target was proposed. The time-frequency distribution of target was firstly analyzed by the generalized S-Wigner distribution (GSWD) based on the micro-motion models of sliding scattering center. Then, the instantaneous Doppler frequency was orderly obtained by Viterbi algorithm. Lastly, the signal of time field was rebuilt by the adverse S transform to reduce the noise, and the micro-Doppler information of the target was extracted by the sum-mean error compensation method. The result indicates that the method can get precious micro-Doppler parameters of ballistic targets and has good capability of anti-noise.

Key words： GSWD; Viterbi algorithm; ballistic target; feature extraction

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参考文献

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