电子与控制

非合作无源探测中的假设检验弱目标检测方法

  • 应涛 ,
  • 黄高明 ,
  • 左炜 ,
  • 单鸿昌 ,
  • 高俊
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  • 海军工程大学电子工程学院, 武汉 430033
黄高明,男,博士,教授。主要研究方向:雷达/电子战信号处理、盲信号处理、无源探测、电子战系统仿真与效能评估。Tel:027-65461241,E-mail:hgaom_paper@163.com;左炜,男,博士,讲师。主要研究方向:信号处理。Tel:027-65461258,E-mail:zuowei_gc@163.com;单鸿昌,男,博士研究生。主要研究方向:数字通信。Tel:027-65461870,E-mail:shanhongchang@126.com;高俊,男,博士,教授。主要研究方向:数字信号处理、数字通信、短波无线通信。Tel:027-65461226,E-mail:gaojunnj@163.com

收稿日期: 2015-02-09

  修回日期: 2015-04-07

  网络出版日期: 2015-05-15

基金资助

国家自然科学基金(60901069);国家"863"计划(2013AAXXX4061,2014XXX4061)

Weak target detection method based on hypothesis test theory in non-cooperative passive detection

  • YING Tao ,
  • HUANG Gaoming ,
  • ZUO Wei ,
  • SHAN Hongchang ,
  • GAO Jun
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  • College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China

Received date: 2015-02-09

  Revised date: 2015-04-07

  Online published: 2015-05-15

Supported by

National Natural Science Foundation of China(60901069);National High-tech Research and Development Program of China(2013AAXXX4061,2014XXX4061)

摘要

在非合作无源探测系统中,弱目标回波不仅会受到强直达波、强多径的干扰,还会受到强目标的掩盖干扰,因此很难对其进行有效检测。为了解决这一问题,提出了一种基于多择复合假设检验的弱目标检测方法。首先将接收信号投影到多径干扰的正交补子空间内,以消除强直达波和强多径干扰,然后将目标检测看作一个多择复合假设检验问题,建立了与之相应的基本框架模型,利用最大后验估计方法对目标时延、多普勒频移及信号幅度等参数进行估计,构造检验统计量,设置相应的门限,根据假设检验结果,逐个消除强目标干扰从而达到检测弱目标的目的。仿真结果表明,本方法可以有效抑制强直达波、强多径及强目标干扰,有效检测出弱目标,且虚警率低。

本文引用格式

应涛 , 黄高明 , 左炜 , 单鸿昌 , 高俊 . 非合作无源探测中的假设检验弱目标检测方法[J]. 航空学报, 2016 , 37(2) : 626 -636 . DOI: 10.7527/S1000-6893.2015.0100

Abstract

Due to the interference from strong direct signal, multipath signals and echoes from strong sources, it is difficult to detect weak targets in non-cooperative passive detection system. In order to solve this problem, a method for weak target detection based on multiple composite hypothesis test theory is proposed. To begin with, projections of the received signal in a subspace orthogonal to both the strong, direct and multipath disturbance achieve the cancellation of strong, direct signal and multipath signal. Target detection is treated as multiple composite test problem and the corresponding theory frame is built up. Unknown parameters such as delay, Doppler frequency and signal amplitude are estimated using maximum a posteriori criterion for the achievement of test detection statistics. The required threshold is derived and interference from strong targets is degraded and subtractedstep by step according to the results of hypothesis test decision. Finally, simulation results demonstrate that the proposed approach can conduct the cancellation of strong direct signal, multipath and echoes from strong sources and detect very weak target at low false alarm rate.

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