【摘要】 在联合交互式多模型概率数据关联思想的基础上,将自适应滤波算法应用到概率数据关联滤波器中,提出了一种适用于杂波环境机动目标跟踪的新算法—交互式自适应概率数据关联(Interactive Multiple Models Adaptive Probabilistic DataAssociation—IMM-APDA)算法,避免了模型选取的不确定性,扩大了机动目标的跟踪范围,实现了杂波环境中对目标较高精度的状态估计.理论分析与仿真结果验证了该算法的优越性,提高了目标跟踪精度.更多还原

【Abstract】 Based on the idea of the combined interactive multiple models probabilistic data association(IMMPDA) algorithm,the author brought an adaptive filtering method into the probabilistic data association(PDA) filter and put forward a novel algorithm—Interactive Multiple Models Adaptive Probabilistic Data Association(IMM-APDA) algorithm,which had an efficient combination of the state estimation with the data association.The tracking extension was spread and the accuracy of maneuvering target tracking in cluttered environment can be improved by this new algorithm,which bypassed the choice of different multiple models.The computational simulation results indicate that IMM-APDA algorithm will decrease the computational burden and has a better performance than IMMPDA in tracking maneuvering target in clutter.更多还原