An Improved Combined Interacting Multiple Models Probabilistic Data Association Algorithm

摘要：

Considering the impact of the common measurements for updating the track to improve PDA algorithm, an improved combined interacting multiple models probability data association(IC-IMMPDA) algorithm, combining IMM algorithm with improved PDA algorithm is proposed. The simulation’s results show that the new algorithm is not only much better than the combined interacting multiple models probabilistic data association (C-IMMPDA) algorithm, but also keeping small calculation cost in the environment of dense targets.

关键词： probabilistic data association algorithm multiple target tracking interacting multiple models algorithm

作者: Yang Xiong Zhang Shun-sheng Zhang Wei Chen Ming-yan

作者单位: Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China Chengdu, Sichuan, 611731, P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1834-1838

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）