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跟踪机动目标的最小子模型集切换算法研究
引用本文:嵇成新,万永峰,陈阳,陈晓峰.跟踪机动目标的最小子模型集切换算法研究[J].舰船科学技术,2007,29(4):137-142.
作者姓名:嵇成新  万永峰  陈阳  陈晓峰
作者单位:海军大连舰艇学院科研部,辽宁 大连116018
摘    要:研究了机动目标跟踪的多模型(MM)方法,提出了一种新的多模型方法——最小子模型集切换(MSMSS)算法。这种算法从总模型集中自适应确定最小子模型集,用来进行多模型估计。仿真结果显示,和标准的交互式MM(IMM)相比,MSMSS算法在具备同等跟踪性能的前提下计算量很小,在计算量相同的情况下具有更好的跟踪性能。

关 键 词:机动目标跟踪  变结构多模型  最小子模型集算法
文章编号:1672-7649(2007)04-0137-06
修稿时间:2006-06-15

The MSMSS algorithm for tracking maneuvering target
JI Cheng-xin,WAN Yong-feng,CHEN Yang,CHEN Xiao-feng.The MSMSS algorithm for tracking maneuvering target[J].Ship Science and Technology,2007,29(4):137-142.
Authors:JI Cheng-xin  WAN Yong-feng  CHEN Yang  CHEN Xiao-feng
Institution:Departerment of Scientific Research, Dalian Naval Academy, Dalian 116018, China
Abstract:The multiple model(MM)approach to the maneuvering target tracking problem is considered.A new MM design,the minimal submodel-set switching(MSMSS)algorithm for tracking a maneuvering target is presented.The MSMSS algorithm adaptively determines the minimal set of models from the total model set and uses this to perform multiple model estimation.Simulation results demonstrate that,compared with a standard interacting MM(IMM),the proposed algorithms require significantly lower computation while maintaining similar tracking performance.Alternatively,the new algorithm display significantly improved performance.
Keywords:maneuvering target tracking  variable structure multiple model  minimal submodel-set algorithm
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