机动目标跟踪的IMM和IMMF-LS自适应滤波算法  

The Adaptive Filter Algorithm of IMM and IMMF-LS Tracking the Maneuvering Target

作　　者：王永生[1] 范洪达[1] 

机构地区：[1]海军航空工程学院军械工程系,山东烟台264001

出　　处：《计算机仿真》2002年第5期48-52,共5页Computer Simulation

摘　　要：介绍了一种跟踪机动目标的交互式多模型 (IMM)自适应滤波算法 ,并在其基础之上介绍了一种基于状态的扩充具有固定延时的平滑IMM算法 (IMMF -LS) ,分别采用了Singer模型和“当前”统计模型与CA模型进行交互运算。蒙特卡洛仿真结果表明了IMM具有明显的综合多模型的优点 ,IMMF -LS的跟踪精度明显高于IMM算法。The interacting multiple model method (IMM) tracking the maneuvering target, is introduced on the basis of which interacting multiple model mixed-lag smoothing algorithm (IMMF-LS) is introduced by using the state extension, respectively using Singer model and Current statistic model with CA model for interacting operation. The result of Monte Carlo emulation shows that IMM has the obvious virtue of integrating many models, the tracking precision of IMMF-LS is obviously higher than IMM.

关 键 词：机动目标跟踪 IMM IMMF-LS 自适应滤波算法 蒙特卡洛仿真 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]