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基于随机有限集的目标跟踪方法研究及最新进展 被引量：16

Survey of Target Tracking Based on Random Finite Set
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摘要 本文概述了基于随机有限集的目标跟踪方法的产生、发展和研究现状.论文概要总结了基于随机有限集的目标跟踪方法的基础理论,主要包括随机有限集的理论基础,概率假设密度滤波器的理论基础,概率假设密度滤波器的实现方式以及基于随机有限集的目标跟踪算法的性能评价指标.文中同时简要介绍了概率假设密度滤波器在目标跟踪领域的应用,并对在该领域未来的发展提出了自己的看法. This paper describes the emergence, the development and the present research situation on the random finite set （RFS） theory in target tracking. The paper summarizes some theoretical points about target tracking based on RFS, including the fundamental theory of RFS, the fundamental theory of probability hypothesis density （PHD） filter, the implementation of PHD filter and the quality assexxment measure of performance for the filter based on RFS. The applications of RFS theory in target tracking are briefly introduced and some comments on PHD filter＇s developing prospects are proposed.
作者 王晓 韩崇昭 连峰
机构地区 西安交通大学电子与信息工程学院
出处 《工程数学学报》 CSCD 北大核心 2012年第4期567-578,共12页 Chinese Journal of Engineering Mathematics
基金 国家自然科学基金(60921003 61074176) 国家"973"重点基础研究发展规划项目(2007CB311006)~~
关键词 随机有限集 概率假设密度 目标跟踪 random finite set probability hypothesis density target tracking
分类号 TP274 [自动化与计算机技术—检测技术与自动化装置]
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参考文献62

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二级参考文献127

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共引文献58

同被引文献138

  • 1密君英,李凡长.Agent系统的随机集表示[J].计算机工程,2005,31(6):145-147. 被引量：1
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引证文献16

二级引证文献52

工程数学学报
2012年 第4期

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