修正概率关联算法在航迹关联中的应用

Application of Modified PDA Algorithm in Dense Clutter

在雷达组网航迹跟踪问题的研究中,针对杂波环境下雷达对作战目标的跟踪精度,为了准确跟踪目标,通过对现有概率数据关联算法(PDA)和联合概率数据关联算法(JPDA)算法进行改进,引入跟踪区域划分概念和修正因子,提出一种航迹新的修正概率数据关联算法(MPJA)。不需要考虑JPDA算法中产生所有可能的联合事件,具有计算量小,易于工程实现的优点。仿真结果表明,新算法以与PDA算法接近的计算量,达到了接近于JPDA算法的目标跟踪成功率,提高跟踪精度。

According to the problem of multi-target tracking in clutter environment, a modified probabilistic data association algorithm （MJPA） based on probabilistic data association algorithm（PDA） and joint probabilistic data association algorithm （JPDA） is designed by introducing the concept of tracking region partition and correcting factor. This algorithm is more efficient to directly compute posterior probabilities without generating all the possible joint events. The simulating results show that this algorithm can obtain the rate of successful target tracking close to that of JPDA algorithm, while its calculating quality is near to PDA algorithm.