Adaptive Interacting Multiple Model Unscented Particle Filter Tracking Algorithm

摘要：

　　In order to study the tracking problem of maneuvering image sequence target in complex environment with multi-sensor array, the adaptive interacting multiple model unscented particle filter algorithm based on measured residual is proposed.The motion array tracking system dynamic model is established, and initialized probability density function also is defined based on unscented transformation, after that, the measured covariance and state covariance are online adjusted by measured residual and adaptive factor, then the self-adapting capability of filter gain and the real-time capability of posterior probability density function are improved.Finally, the simulation results between different algorithms show the validity and superiority of the presented algorithm in tracking accuracy, stability and real-time capability.

关键词： adaptive algorithm unscented particle filter target tracking measured residual

作者: Liu Hongjiang

作者单位: Aba Teachers College,Wenchuan,623000,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 906-910

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）