电子学报 ›› 2017, Vol. 45 ›› Issue (6): 1498-1505.DOI: 10.3969/j.issn.0372-2112.2017.06.031

• 学术论文 • 上一篇    下一篇

基于代价参考粒子滤波的存在概率检测算法

卢锦1, 王鑫1, 章为川2   

  1. 1. 陕西科技大学电气与信息工程学院, 陕西西安 710021;
    2. 西安工程大学电子信息学院, 陕西西安 710048
  • 收稿日期:2015-12-23 修回日期:2016-04-21 出版日期:2017-06-25 发布日期:2017-06-25
  • 作者简介:卢锦 女,1984年12月出生,陕西西安人.2014年毕业于西安电子科技大学雷达信号处理国家重点实验室,博士.现为陕西科技大学电气与信息工程学院讲师.主要研究方向为微弱目标检测和跟踪.E-mail:lj491216@163.com;王鑫 女,1979年05月生,河南新乡人.2010年在西安电子科技大学获得通信与信息系统工学博士学位.现为陕西科技大学电气与信息工程学院教师.主要从事通信系统与信息安全研究.E-mail:wangxin@sust.edu.cn;章为川 男,1980年生,浙江苍南人.2013年毕业于西安电子科技大写雷达信号处理国家重点实验室,博士.现为西安工程大学电子信息学院讲师.主要研究方向为图像处理、模式识别.E-mail:zwc2003@163.com
  • 基金资助:

    陕西科技大学启动基金(No.BJ15-10,BJ02);西安市科技计划项目(CXY1513);国家自然科学基金(No.61401347)

Cost-Reference Particle Filter Based Existence Probability Detection Algorithm

LU Jin1, WANG Xin1, ZHANG Wei-chuan2   

  1. 1. College of Electrical & Information Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi 710021, China;
    2. College of Electronics and Information, Xi'an Polytechnic University, Xi'an, Shaanxi 710048, China
  • Received:2015-12-23 Revised:2016-04-21 Online:2017-06-25 Published:2017-06-25

摘要:

为提高统计特性未知情况下对非线性微弱动目标的检测能力,本文提出一种基于代价参考粒子滤波的检测前跟踪算法.首先在代价参考粒子滤波的状态向量中增加模拟目标存在状态的离散变量,并在离散变量的转移过程中引入相关系数判决机制;其次,利用代价参考粒子滤波的输出估计存在概率;最后,基于存在概率构造检验统计量.当检验统计量大于给定门限时宣布目标出现.天波雷达目标检测的仿真表明,当系统的统计特性已知时,该方法的检测性能与基于传统粒子滤波的似然比检测、存在概率检测等相当;当统计特性未知时,该方法的检测性能比传统方法提高了2dB以上.本方法可用于复杂背景下的监测系统,如雷达、声呐等.

关键词: 代价参考粒子滤波, 检测前跟踪, 存在概率, 粒子滤波

Abstract:

To improve the capability of detecting weak moving target with unknown statistical feature,a kind of track-before-detect (TBD) algorithm implemented by cost-reference particle filter (CRPF) is proposed (CRPF-TBD).Firstly,a discrete variable mimicking the existence and absence of a target is added to the state vector of CRPF.Particularly,besides transform probability matrix,the transformation of the discrete variables in the CRPF-TBD also depends on the correlative coefficient of successive measurements.Secondly,the existence probability at each frame is calculated from the output discrete variables.Finally,a binary test statistic is constructed from the existence probabilities.Target is declared to be present if the test statistic exceeds a given threshold.Simulation experiments of over-the-horizon radar (OTHR) target detection show that,in the case of given statistical feature,the detection performance of the proposed method is comparable to that of the traditional particle filter (PF) based likelihood ratio algorithm and existence probability detection method,and improved by more than 2dB when the statistical feature is unknown.The proposed method could be applied to surveillance in complex environment,such as radar and sonar.

Key words: cost-reference particle filter (CRPF), track-before-detect (TBD), existence probability, particle filter

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