Abstract:The paper describes an Adaptive Interacting Multiple-model(AIMM) algorithm for use in manoeuvring target tracking. The algorithm does not need predefined models. A two-stage Kalman estimator is used to estimate the acceleration of the target. This acceleration value is then fed to the subfilters in an Interacting Multiple Model (IMM) algorithm where the subfilters have different acceleration parameters. The simulation results of the performance of the AIMM algorithm and that of the IMM algorithm are given.
戴筠; 王建海; 李英. 自适应混合多模算法在机动目标跟踪中的应用[J]. 电子与信息学报, 1998, 20(6): 733-738 .
Dai Jun①; Wang Jianhai②; Li Ying②. APPLICATION OF ADAPTIVE INTERACTING MULTIPLE MODEL ALGORITHM FOR TRACKING A MANOEUVRING TARGET. , 1998, 20(6): 733-738 .