机动目标IMM三维并行滤波跟踪算法

由于复杂的空中目标机动,其三维方向的机动强度是不一致的,传统IMM算法存在模型匹配不准确的问题,提出一种机动目标IMM三维并行滤波的跟踪算法。算法以CV和修正的CS模型为子集,在3个坐标轴上分别根据目标机动的分量实际更新其模型概率,并行IMM滤波方法,尽量确保模型的适配性,提高滤波精度。仿真结果表明,该算法比传统IMM方法跟踪精度更高,对空中机动目标跟踪适应性更强。

Parallel Filtering Algorithm in Three Dimensions for IMM Maneuvering Target Tracking

According to the physical truths those are the complexity of special target maneuvering and the inconformity of maneuvering level in three dimensions,the problems of model mismatching and inaccuracy in traditional IMM are pointed out,then a parallel filtering algorithm in three dimensions for IMM maneuvering target tracking is presented. The model set of this algorithm consists of the CV and the modified CS model,the parallel IMMs in three dimensions can update model probabilities respectively according its maneuvering reality,which ensures the accuracy of model probabilities,then improves the filtering precision. The simulation results indicate that the tracking precision of proposed algorithm is highter than traditional IMM,that is said it applies to maneuvering target tracking in space.