基于“当前”统计模型的交互式多模型算法  

Interacting multiple model algorithm based on the current statistical model

作　　者：刘建书[1] 李人厚[1] 刘云龙[1] 

机构地区：[1]西安交通大学电子与信息工程学院,陕西西安710049

出　　处：《系统工程与电子技术》2008年第7期1351-1354,共4页Systems Engineering and Electronics

基　　金：国家"211工程"基金;西安交通大学"行动计划"基金资助课题

摘　　要：提出了一种基于"当前"统计模型的交互式多模型算法。在交互式多模型算法框架内,计算"当前"统计模型的概率,自适应地调整"当前"统计模型中目标加速度,使其能够反映目标的机动特性,充分发挥了"当前"统计模型和交互式多模型算法的优点,扩大了"当前"统计模型的应用范围,提高了"当前"统计模型的自适应性。Monte Carlo仿真结果表明了该算法的有效性。An interacting multiple model （IMM） algorithm based on the current statistical model is proposed. Under the configuration of IMM, the probability of the current statistical model is calculated. The acceleration of the target is adjusted adaptively in the current statistical model which can reflect the maneuvering characteristic of the target. It combines the advantages of the current statistical model and IMM so as to extend the application range of the current statistical model, and its adaptive performance is enhanced. Monte Carlo simulation results show the effectiveness of the proposed algorithm.

关 键 词：目标跟踪 “当前”统计模型 交互式多模型算法 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]