Interacting Multiple ModelTarget Tracking Algorithm Based on Particle Filtering

摘要：

The movement model of maneuvering targets is analyzed, and based on the fact that the interacting multiple models in extended Kalman Filter and Unscented Kalman Filter have a low precision of tracking strong maneuvering targets, particle filter is introduce into interacting multi-model, so that particle filtering of every model can be realized through particle filtering algorithm. The simulation result shows that particle filtering algorithm has improved the tracking precision of strong and nonlinear maneuvering targets.

关键词： interacting multi-model particle filtering targets tracking.

作者: De-Ping Yuan Juan-Yi Zheng

作者单位: No. 20th Research Institute of CETC Xi’an 71068, china Xi’an University of Posts and Telecommunications, Xi’an 710121, 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: 1907-1910

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）