集中式自适应网格IMMJPDA算法

摘要

现有的集中式交互多模型联合概率数据互联( IM MJPDA)算法在多模型这个意义上都是基于固定结构的,而固定结构多模型算法存在的缺陷这些算法都不可避免的存在.为此,将一种变结构多模型算法——自适应网格交互多模型( AGIMM)算法和联合概率数据互联(JPDA)算法相结合,提出了用于多传感器多目标跟踪的集中式自适应网格IMMJPDA( AGIMMJPDA)算法.该算法通过自适应网格实现模型集合自适应调整来克服固定结构IMMJPDA存在的缺陷.仿真结果显示,该算法可以有效克服固定结构IMMJPDA算法存在的缺陷,并提高IMMJPDA算法的费效比.%Existing centralized interacting multiple model joint probabilistic data association (IMMJPDA)algorithms have a fixed structure in the sense that they use a fixed set of models at all times, and they inevitably have the limitation of fixed structure multiple-model. A variable structure multiple-model algorithm, I. E., adaptive grid interacting multiple model ( AGIMM ) algorithm is combined with joint probabilistic data association ( JPDA ), centralized adaptive grid IMMJPDA ( AGIMMJPDA ) algorithm is proposed using for multisensor multitarget tracking. The algorithm achieves model-set adaptation by adaptive grid,the limitation of fixed structure IMMJPDA is overcomed. Finally,simulation indicates that this algorithm can overcome the limitation of fixed structure IMMJPDA and effectively improve the cost-effectiveness of IMMJPDA.