航空学报 > 2016, Vol. 37 Issue (4): 1292-1304   doi: 10.7527/S1000-6893.2015.0234

基于均值-方差联合检验的航迹欺骗干扰识别

孙殿星, 王国宏, 盛丹   

  1. 海军航空工程学院信息融合研究所, 烟台 264001
  • 收稿日期:2015-04-14 修回日期:2015-08-17 出版日期:2016-04-15 发布日期:2015-08-28
  • 通讯作者: 王国宏,Tel.:0535-6635802 E-mail:wangguohong@vip.sina.com E-mail:wangguohong@vip.sina.com
  • 作者简介:孙殿星,男,博士研究生。主要研究方向:雷达数据处理和雷达抗干扰。E-mail:sdxdd.hi@163.com;王国宏,男,博士,教授。主要研究方向:信息融合、雷达数据处理、雷达抗干扰、机动目标跟踪和微弱目标检测。Tel:0535-6635802 E-mail:wangguohong@vip.sina.com;盛丹,女,博士研究生。主要研究方向:目标无源定位和雷达抗干扰。E-mail:2855221900@qq.com
  • 基金资助:

    国家自然科学基金(61179018,61102165);泰山学者建设工程专项经费资助

Phantom track jamming recognition based on mean-covariance collaborative testing

SUN Dianxing, WANG Guohong, SHENG Dan   

  1. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China
  • Received:2015-04-14 Revised:2015-08-17 Online:2016-04-15 Published:2015-08-28
  • Supported by:

    National Natural Science Foundation of China (61179018,61102165);Taishan Academic Special Foundation of Shandong

摘要:

以集中式融合结构雷达网为研究背景,从电子战飞机(ECAV)产生虚假航迹的原理出发,针对真/假航迹空间分布差异,提出了基于均值-方差联合检验的航迹欺骗干扰识别技术。首先分析了真/假航迹的统计特性差异,然后利用多个时刻航迹的坐标差,并通过坐标差的协方差阵对角化和归一化处理来构造检验样本,最后利用似然比统计检验的方法实现了虚假航迹的识别。仿真结果表明该技术能够对航迹欺骗干扰进行有效的识别,在雷达测距精度、测角精度变化的条件下仍能保持较高的识别率。

关键词: 电子战飞机, 雷达, 航迹欺骗, 随机量测误差, 似然比, 假设检验

Abstract:

Under the background of radar network with the centralized fusion architecture an algorithm for phantom track jamming recognition is proposed in the presence of the difference of spatial distribution property between phantom track and target track, which is based on the mean-covariance collaborative testing. The algorithm originates from the generation mechanism of phantom track by electronic combat air vehicles (ECAV). Firstly, the difference of the statistical property between the true track and phantom track is analyzed. Then, the multi-time coordinates difference is used to construct the testing sample set according to diagonalizing and normalizing of the coordinates difference covariance matrix. Finally, the phantom track is recognized by the mean-covariance collaborative likelihood ratio testing. The results of simulation show that the phantom track can be recognized effectively according to this technique, and the correct recognition rate is still high when the random range measurement error and angle measurement error change.

Key words: electronic combat air vehicle, radar, phantom track, random measurement error, likelihood ratio, hypothesis testing

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