基于加速度的多目标联合跟踪与分类  

Joint Target Tracking and Classification Based on Acceleration

作　　者：何献武[1] 胥辉旗[1] 程永茂[1] 

机构地区：[1]海军航空工程学院,烟台264001

出　　处：《舰船电子工程》2011年第6期60-64,共5页Ship Electronic Engineering

摘　　要：针对多个机动目标的联合跟踪与分类的问题,文章考虑两类空中目标:商业机和战斗机。采用模糊数据互联(FDA)来完成两个目标的跟踪;采用多模型粒子滤波来处理目标的多个运动模型问题;通过由跟踪器得到的速度量测来完成分类任务。仿真结果表明该方法能提供可靠的跟踪和正确的分类。The essay talks about the problem of joint target tracking and classification with two targets,and each target may have two kinds possible-commercial plant or fighter.Multi-targets tracking with FDA are introduced,and the classification with multi-model PF are completed.Classification can be achieved only with kinematic measurements.The velocities of each class are achieved by the state estimation.The velocity changes is used as a so-called chracter measuremt.Simulation results show that the algorithm provides credible tracking and accurate classification.

关 键 词：多模型粒子滤波器 多目标 速度可能函数 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]