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Computer Engineering ›› 2011, Vol. 37 ›› Issue (8): 85-87. doi: 10.3969/j.issn.1000-3428.2011.08.029

• Networks and Communications • Previous Articles     Next Articles

ARM Detection Based on Chirplet Transform of Three Parameters

LIU Xiao-ming a, WANG Jian-dong a, GUO Yue b, HE Hui a, WANG Xiao-ying a   

  1. (a. College of Communication Engineering; b. College of Mathematics and Physics, Chongqing University, Chongqing 400030, China)
  • Online:2011-04-20 Published:2012-10-31

基于三参数Chirplet变换的ARM检测

刘晓明 a,王建东 a,郭 悦 b,何 徽 a,王潇瀛 a   

  1. (重庆大学 a. 通信工程学院;b. 数理学院,重庆 400030)
  • 作者简介:刘晓明(1963-),男,教授、博士后,主研方向:无线通信与测控,信号检测与处理;王建东、郭 悦、何 徽、王潇瀛,硕士研究生

Abstract:

Based on the characteristics analysis of Anti-Radio Missile(ARM) echo wave, three parameters Chirplet Transform(CT) is proposed, choosing three parameters of five in CT. A new method of ARM detection technique is also proposed associated with adaptive linear prediction filtering algorithm. Implemented by FFT, it can narrow the searching range and reduce the requirement of input SNR effectively. Simulation results show that ARM can be detected fast and precisely in this way, in the surrounding of low SNR and high aircraft echo interference, so that a reliable early warning of ARM launching can be given.

Key words: Chirplet Transform(CT), Anti-Radio Missile(ARM), adaptive linear prediction filter

摘要:

根据反辐射导弹(ARM)回波信号的特征,选择Chirplet变换5个参数中的3个,得到三参数Chirplet变换,并结合自适应线性预测滤波算法,提出一种基于三参数Chirplet变换的ARM检测方法。该方法可有效缩小搜索范围和降低输入信噪比要求,且可借助FFT实现。仿真结果表明其可在大载机回波干扰和低信噪比环境下快速准确地检测出ARM回波,实现实时告警。

关键词: Chirplet变换, 反辐射导弹, 自适应线性预测滤波

CLC Number: