An Innovative Fuzzy Covariance Presetting For High Maneuvering Target Tracking Problems
This paper deals with a new covariance presetting scheme is presented to overcome some drawbacks of the high maneuvering target tracking problems by using the Fuzzy logic method for evaluating the elements of the covariance matrix presetting. This scheme includes an estimation part that uses a modified Kalman filter and a fuzzy logic part to improve the tracking performance of the high maneuvering targets. The fuzzy part is designed based on deviation of last target direction. The result is compared with the conventional covariance matrix presetting method. Simulation results show a superior performance of the proposed covariance presetting when a target either moves with high maneuver or with constant velocity.
High Maneuvering Targets Fisher and Bayesian Uncertainty Models Kalman Filtering Matriz Covariance Presetting Fuzzy Systems
Z. Beheshtipour H. Khaloozadeh
Islamic Azad University Science and Research Branch, Member of Young Research Club , Tehran, Iran Faculty of Electrical Engineering, K.N.Toosi University of TechnologyTehran, Iran
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5623-5628
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）