Attitude Angle Aided IMMCKF Algorithm

摘要：

To effectively solve the tracking problem of nonlinear maneuvering target, interacting multiple model cubature Kalman filter (immckf) algorithm brings cubature Kalman filter (ckf) into the interacting multiple model (imm) algorithm. this paper brings the attitude angle information into the immckf algorithm, and identifies the target maneuver mode through the fuzzy association between the attitude angle and the current motion mode of target; then the association result is used to fuse with the model probability of imm to enhance its model resolving power. a simulation of maneuvering target tracking shows that the attitude angle aided immckf (aa-immckf) algorithm can effectively improve the tracking accuracy and stability of the original immckf algorithm.

关键词： interacting multiple model cubature Kalman filter attitude angle maneuver target tracking

作者: Chen Hai Shan Ganlin

作者单位: Department of Optical and Electronic Engineering,College of Mechanical Engineering Shijiazhuang 050003,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 197-200

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）