A Fuzzy Adaptive Tracking Algorithm Based on Current Statistical Probabilistic Data Association
In this paper,a new fuzzy adaptwe maneuvering target tracking algorithm based on current statistic model is proposed. How to track a maneuvering target is a key problem of target tracking in clutter. Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets. So it may be difficult to meet all maneuvering conditions. The Fuzzy inference combined with Current statistical model is proposed to cope with this problem. Given the error and change of error in the last prediction, fuzzy system on-line determines the magnitude of maximum acceleration to adapt to different target maneuvers. Furthermore, the difficulties of the maneuvering target tracking lies in the uncertainty of state model ,and the clutter make it more complex. The algorithm combines current statistical algorithm with probabilistic data association algorithm At last, the results show this algorithm can estimate a maneuvering target in clutter efficiently.
maneuvering target trackirng current statisticalmodel fuzzy inference probabilistic data association
Yang Feixue Song Zhenhua
School of Management Tianjin University of Technology Tianjin, P.R.China 300384 School of Management Tianjin University of Technology Tianjin P.R.Chma 300384
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1597-1599
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）