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典型复杂微动目标的建模和检测
引用本文:陈 磊,李兴广,陈殿仁.典型复杂微动目标的建模和检测[J].电讯技术,2016,56(11):1201-1207.
作者姓名:陈 磊  李兴广  陈殿仁
作者单位:长春理工大学 电子信息工程学院,长春,130022
基金项目:国防装备预研项目(40405050302)
摘    要:针对战场典型复杂微动目标的检测问题,提出了一种基于能量聚焦的微动目标检测方法。首先对3种复杂微动目标雷达回波的微多普勒特性进行了建模和仿真,分析了回波多普勒的频域和时频域特性,提取了雷达回波多普勒时频分析数据的能量聚焦特性,并提出了一种基于能量聚焦的广义似然比微动目标检测器。数值仿真表明,在不同的信噪比和虚警概率条件下,该检测器均可实现对3种复杂微动目标的有效检测。

关 键 词:微动目标  雷达回波  广义似然比检测  能量聚焦

Modeling and detection of typical complex micro-motion targets
CHEN Lei,LI Xingguang and CHEN Dianren.Modeling and detection of typical complex micro-motion targets[J].Telecommunication Engineering,2016,56(11):1201-1207.
Authors:CHEN Lei  LI Xingguang and CHEN Dianren
Abstract:In order to detect the typical complex micro-motion targets in battlefield,a micro-motion targets detection method based on energy focusing is proposed. First,the models of three complex micro-targets are established and simulated,their frequency-domain and time-frequency domain characteristics are analyzed,the frequency energy focusing characteristics of the echo time-frequency data are extracted.Then,a generalized likelihood ratio test(GLRT) detector for micro-motion targets based on energy focusing efficiency is proposed.The numerical simulation shows that the GLRT has a good performance under different echo signal-to-noise ratio(SNR) and false alarm probability conditions.
Keywords:micro-motion targets  radar echo  generalized likelihood ratio test(GLRT)  energy focusing
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