基于双层粒子滤波的多传感器多目标TBD算法

Multi-sensor and Multi-target TBD Algorithm Based on Two-layer Particle Filter

针对多传感器多目标检测跟踪问题,提出了一种多传感器多目标双层粒子滤波检测前跟踪算法。算法采用双层粒子滤波结构,在目标检测层中采用量测消除法对多目标逐一检测,形成目标跟踪子粒子群,在目标跟踪层中采用二次重采样的方法对粒子群中粒子分布进行修正,在跟踪过程及时发现并剔除虚假目标。仿真结果表明算法的有效性。

In order to solve the problem of multi-sensor multi-target detection and tracking,a multi-sensor multi-target and two-layer particle filter pre-detection tracking algorithm is proposed.The algorithm adopts the two-layer particle filter structure,and in the target detection layer,the measurement elimination method is used to detect multiple targets one by one,forming the target tracking sub-particle group.In the target tracking layer,the particle distribution in the particle group is modified by the method of secondary resampling,and false targets are detected and removed in time during the tracking process.Simulation results show that the algorithm is effective.