A Novel Maneuvering Target Passive Tracking Algorithm with Multiple Infrared Observers
A novel algorithm of UKF-IMM(unscented Kalman filter-interacting multiple model) is proposed to track a maneuvering target with two infrared observers. This algorithm use Markov process to describe switching probability among the models, while weighting means of inputs and outputs of UKF. The simulations of the application of UKF-IMM and EKF-IMM algorithm to maneuvering target tracking using dual infrared sensors are done separately. The simulation results show that the new algorithm outperforms EKF-IMM in terms of tracking accuracy and filter credibility.
UKF-IMM infrared observers passive tracking
Panlong Wu Xingxiu Li
School of Automation Nanjing University of Science and Technology Jiangsu, 210094 P.R.China School of Science Nanjing University of Science and Technology Jiangsu, 210094 P.R.China
国际会议
北京
英文
1678-1680
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）