Tracking of Multiple Targets in Clutter Using Optimal Sets Based on Linear Programming

摘要：

This paper is devoted to the problem of tracking multiple targets in clutter and a new methods is presented. We first formulate the data assignments problem of measurement-to-target as a linear programming problem. Through using the linear programming (LP)-based branch-and-bound method and adjusting the constraint conditions, the optimal sets based on linear programming (LP-OS) method is presented then for tracking of multiple targets in clutter. Extensive Monte Carlo simulations show that the presented method can obtain better estimation than the optimization method of linear programming problem, especially, in the situation of multi-clutter and high measurement noise.

关键词： Multiple targets tracking Optimal sets Linear programming

作者: Xiaoyan Fu Yingmin Jia Shiying, Yuan

作者单位: The Seventh Research Division,Beihang University (BUAA),Beijing 100191,China School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,Henan

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 4892-4897

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）