摘要
针对密集杂波环境下对多个高机动并有轨迹交叉的目标进行跟踪的问题,由于交互式多模型联合概率数据关联算法在目标密集和多模型情况下会出现计算组合爆炸的情况,提出了一种结合交互式多模型算法IMM和简化的联合概率数据关联算法Cheap JPDA的自适应跟踪算法。Cheap JPDA算法节省了JPDA算法中确认矩阵的拆分过程,降低关联概率计算难度及计算量。通过Monte Carlo仿真表明,算法能够很好的实现机动目标的跟踪性能,从而说明了算法的有效性。
In this paper, the problem of tracking multiple maneuvering and track-cross targets under dense clut- ters was investigated. IMMJPDA algorithm would cause combination explosion problem of the calculation in the case of intensive and multiple model. Therefore, a new adaptive tracking algorithm was proposed, which combines IMM with Cheap JPDA. This new algorithm reduces the associated probability calculation difficulty and calculated quantity by saving the resolution process of the matrix. The Monte Carlo simulation results show that the algorithm can achieve good tracking performance for maneuvering targets and illustrate the validity of this algorithm.
出处
《计算机仿真》
CSCD
北大核心
2013年第3期19-21,96,共4页
Computer Simulation
