Intuitionistic Fuzzy Multiple Model Tracking Algorithm for Manoeuring Target
This Paper develops a tracking algorithm for maneuvering target based on intuitionistic logic inference (IFMMTA). Firstly, in order to simply the calculation, the filtering measurement innovations tacked with the innovation covariance are used as the inputs for the intuitionistic fuzzy-inference system to get the matched degrees for each filtering model in the model set designed, which is to in replace of the model probability computed intricately in TMM. Secondly, by transferring the uncertainty from measurement space to intuitionistic fuzzy space, IFMMTA has improved the precision of mode inference. And at the same time, combining the intuitionistic fuzzy inference with EKF and adopting parallel dealing method makes IFMMTA more efficiency for maneuvering target real-time tracking. In the end, the performance of IFMMAT is tested via Monte Carlo simulation, which indicates that IFMMAT is better than FMMTA to reduce the position and velocity tracking error for the maneuvering target.
maneuvering target tracking Intuitionnistic fuzzy multiple model
Zhou Xiaoguang Li Weimin Chen Gang Xie Xin
Missile Institute Air force Engineering University San Yuan, China
国际会议
太原
英文
242-246
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）