Research of Improved Probability Data Association Algorithm for Multi-target Tracking
An improved probabilistic data association is proposed to overcome both the drawback of complication in joint probabilistic data association and the unneutrality of multi-targets processing by probabilistic data association. It incorporates the radar Doppler measurement information and modifies weighting of state estimation of measurements in the common region, and then makes the final estimation more exact and improves further performance. The theoretical analysis and Monte-Carlo simulation results show that the algorithm has small computation cost and a better real-time tracking performance.
Multi-target tracking Data association Probabilistic data association algorithm
Jia Zhengwang Li Yinya Mao Mingxiu Chen Li Guo Zhi
School of Automation,Nanjing University of Sciences and Technology,Nanijing 210094
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
4919-4923
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）