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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
引用本文:王晓,韩崇昭,连峰.基于随机有限集的目标跟踪方法研究及最新进展[J].工程数学学报,2012,29(4):567-578.
作者姓名:王晓  韩崇昭  连峰
作者单位:西安交通大学电子与信息工程学院,西安,710049
基金项目: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)~~
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.

关 键 词:随机有限集  概率假设密度  目标跟踪

Survey of Target Tracking Based on Random Finite Set
WANG Xiao , HAN Chong-zhao , LIAN Feng.Survey of Target Tracking Based on Random Finite Set[J].Chinese Journal of Engineering Mathematics,2012,29(4):567-578.
Authors:WANG Xiao  HAN Chong-zhao  LIAN Feng
Affiliation:(School of Electronic and Information Engineering,Xi’an Jiaotong University,Xi’an 710049)
Abstract: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.
Keywords:random finite set  probability hypothesis density  target tracking
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