目标存在状态变量的非齐次马尔可夫链模型

doi:10.3969/j.issn.1001-2400.2013.04.008

J4 ›› 2013, Vol. 40 ›› Issue (4): 48-55.doi: 10.3969/j.issn.1001-2400.2013.04.008

目标存在状态变量的非齐次马尔可夫链模型

夏双志;严俊坤;戴奉周;刘宏伟

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2012-05-03 出版日期:2013-08-20 发布日期:2013-10-10
通讯作者: 夏双志
作者简介:夏双志(1984-)，男，西安电子科技大学博士研究生，E-mail: hbxszd2000@163.com．
基金资助:
国家自然科学基金资助项目(61271291,61201285)；新世纪优秀人才支持计划资助项目(NCET-09-0630);中央高校基本科研业务费资助项目

Heterogeneous Markov chain model of the target existence variable for Bayesian track-before-detect

XIA Shuangzhi;YAN Junkun;DAI Fengzhou;LIU Hongwei

(National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China)

Received:2012-05-03 Online:2013-08-20 Published:2013-10-10
Contact: XIA Shuangzhi

摘要/Abstract

摘要：

为了进一步改善贝叶斯检测前跟踪算法的检测性能,针对目标存在状态变量，提出了一种非齐次马尔可夫链模型．在提出的非齐次马尔可夫链模型中，目标存在状态变量的状态转移概率矩阵与当前时刻目标存在的后验概率有关，更加符合目标存在状态的转移．计算机仿真实验表明，相比于目标存在状态变量的齐次马尔可夫链模型，非齐次马尔可夫链模型能够进一步改善贝叶斯检测前跟踪算法的检测性能．

关键词: 非齐次, 马尔可夫链, 贝叶斯原理, 检测前跟踪

Abstract:

In order to improve the detection performance of Bayesian track-before-detect, this paper proposes a heterogeneous Markov chain model for target existence variable. In the proposed model, the transition probability of the target existence variable is related with the posterior probability of target existence at the current time, which is more consistent with the transitions of target existence variable. Simulation results show that the detection performance can be improved by the proposed heterogeneous model compared with the traditional homogeneous model.

Key words: heterogeneous, Markov chain, Bayesian theory, track-before-detect

中图分类号:

TN957.51

夏双志;严俊坤;戴奉周;刘宏伟. 目标存在状态变量的非齐次马尔可夫链模型[J]. J4, 2013, 40(4): 48-55.

XIA Shuangzhi;YAN Junkun;DAI Fengzhou;LIU Hongwei. Heterogeneous Markov chain model of the target existence variable for Bayesian track-before-detect[J]. J4, 2013, 40(4): 48-55.

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目标存在状态变量的非齐次马尔可夫链模型

Heterogeneous Markov chain model of the target existence variable for Bayesian track-before-detect

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