融合目标雷达参数信息的交互式多模型跟踪算法  

Interacting Multiple Models Estimator Refer to ESM Information

作　　者：刘杨[1] 姜礼平[1] 管正 

机构地区：[1]海军工程大学,湖北武汉430033

出　　处：《指挥控制与仿真》2015年第5期38-43,共6页Command Control & Simulation

摘　　要：根据目标雷达参数与类型间的模糊关系,应用证据理论将目标雷达信号的载频、脉宽、重频等信息在参数维度和时间维度进行两次融合,在干扰条件下识别目标类型。进而在IMM跟踪算法中引入目标类型信息,改进模型更新过程,提高算法性能。仿真结果表明:该算法可在干扰环境下正确识别目标类型,跟踪精度优于IMM算法。According to the correlation between radars and targets,measurement data is transformed to BPA functions of targets which are fused on two dimensions including parameter and time to classify targets using DS theory. Then,type information of target is fused into interacting multiple models algorithm in order to improve the process of model updating. Simulation result shows that the method developed in this paper is preferred over normal IMM estimator on performance of tracking.

关 键 词：信息融合 目标跟踪 交互式多模型算法 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置] E911[自动化与计算机技术—控制科学与工程]