基于概率最近邻域算法的分布式多传感器多目标跟踪算法

Distributed Multisensor Multitarget Tracking Algorithm Based on Probabilistic Nearest Neighbor Standard Function

为进一步扩大分布式多传感器的应用范围,基于概率最近邻域思想,研究了分布式多传感器概率最近邻域算法,并对其与分布式多传感器联合概率数据互联算法进行了性能仿真分析。经仿真验证,分布式多传感器概率最近邻域算法能够解决多传感器多目标跟踪问题,且实时性有较大提高。

To expand the application of distributed multisensor, based on probabilistic nearest neighbor standard function, distributed multisensor probabilistic nearest neighbor standard function was proposed. The performance comparison and analysis of distributed multisensor probabilistic nearest neighbor standard function and distributed multisensor joint probabilistic data association algorithm was presented. The simulation results showed that distributed multisensor probabilistic nearest neighbor standard function could solve the problem of multisensor multitarget tracking well, of which the runtime reduced greatly.