A Novel Data Association Method for Maneuvering Target Tracking
机动目标跟踪中数据互联新方法

To solve the problem of data association in maneuvering target tracking,a new method of data association is proposed.Being different from the Probabilistic Data Association Filter (PDAF),the proposed method assumes that the current turn rate of a maneuvering target changes within a limited range in data association.Therefore,the forecasting center is not a point but a short line.The distance between a measurement and the short line is utilized to compute the weight factor of the measurement.Simulation results show that the proposed method reduces the percentage of lost tracks and improves the state estimating accuracy in tracking a maneuvering target under the circumstance of clutter.