Passive Multi-sensor Maneuvering Target Tracking based on UKF-IMM Algorithm
For effectively improving the accuracy of tracking a maneuvering target by passive sensors, a novel passive multi-sensor maneuvering target tracking algorithm based on unscented Kalman filter-interacting multiple model(UKF-IMM) is proposed. In this algorithm IKK is used by all models. UKF can avoid linearization of the highly nonlinear equations, and achieve accuracy at least to the second order. This algorithm use Markov process to describe switching probability among the models, while weighting means of inputs and outputs of UKF. Simulation results in passive maneuvering target tracking using three infrared sensors show that the proposed algorithm is more stable and effective.
UKF IMM passive multi-sensor target tracking
Panlong Wu Xingxiu Li
School of Automation Nanjing University of Science and Technology Jiangsu, 210094 P.R.China School of Computer Nanjing University of Science and Technology Jiangsu, 210094 P.R.China
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
794-797
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）