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

作　　者：王圣哲 陈霄 薛安克[1] WANG Sheng-zhe;CHEN Xiao;XUE An-ke(Institute of Information and Control,Hangzhou Electronic Science and Technology University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学信息与控制研究所,杭州310018

出　　处：《火力与指挥控制》2020年第4期100-105,共6页Fire Control & Command Control

摘　　要：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.

关 键 词：粒子滤波 检测前跟踪 多传感器 多目标 量测消除 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TN95[自动化与计算机技术—控制科学与工程]