Fusion Tracking Algorithm Based on Stochastic Approximation
(0) A practical fusion algorithm for tracking maneuvering target based on centralized structure of multi-sensor is proposed. This algorithm is implemented with two filters and state fusion, together with the current statistic model and adaptive filtering. Firstly, the fusion weighting coefficients are obtained using the stochastic approximation theory, a suitable method of estimation measurements noise variance is developed based on fuzzy inference. Two adaptive Unscented Kalman filters with current statistical model are derived in parallel, and fuzzy rule is designed. For the target trajectories of maneuvering and non-maneuvering, computer simulation results show that the fusion algorithm tracks very well maneuvering target over a wide range of change of measurement noise and maneuvering, the algorithm has the robust performance of approach, and it is suitable for practical engineering system.
data fusion target tracking multi-sensor fuzzy.
Liwei Guo Xueguang Chen Shiqiang Hu
Department of Automation Huazhong University of Science and Technology Wuhan,Hubei Province 430074, Department of Automation Hebei University of Science and Technology Shijiazhuang, Hebei Province, Ch
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
802-807
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）