An Efficient TO-MHT Algorithm for Multi-Target Tracking in Cluttered Environment

摘要：

　　In radar system,data association and state estimation are two main principles for tracking multiple targets in cluttered environment.TO-MHT(Track-Oriented Multiple Hypothesis Tracking)is a well known tracking algorithm for its association performance.However,in TO-MHT hypotheses will explode in multi-target scenario as time going.In this paper,a practical implementation of TO-MHT algorithm is designed with four strategies to reduce the computational complexity.By means of simulations and real data validation,the algorithm shows better performance and is more efficient than conventional method.

关键词： multiple hypothesis tracking multiple target tracking data association N-back scan cluttering

作者: ShengSen Pan Qinglong Bao Zengping Chen

作者单位: Science and Technology on Automatic Target Recognition Laboratory,National University of Defense Technology Changsha,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 705-708

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）