基于模糊信息融合的快速数据关联算法

为解决密集杂波下的目标跟踪难题,将目标的距离特征、方位特征进行模糊信息融合,并与概率数据关联算法相结合,得到一种优化的概率数据关联算法。该优化概率数据关联算法与密集杂波下较为有效的联合概率数据关联算法相比,不需产生所有可能的联合事件,因此计算量较小,易于工程实现。仿真结果表明,在不同的杂波环境下,该算法都可以取得令人满意的跟踪效果。

Fast Algorithm for Data Association Based on Fuzzy Information Fusion

For overcoming the tracking problem in dense cluster,target's characteristic of distance and bearing were fused by fuzzy technology.With the fusion method,an improved probability data association algorithm was proposed.Compared with the effective joint probability data association algorithm in dense cluster,the proposed algorithm is more efficient in engineering application without generating all the association events.Simulation results demonstrate that the tracking performance of this algorithm is well un...