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基于最小模型集切换的变结构IMMPF算法
引用本文:薛磊,汪波.基于最小模型集切换的变结构IMMPF算法[J].现代防御技术,2011,39(1):109-113,128.
作者姓名:薛磊  汪波
作者单位:1. 电子工程学院,电子系,安徽,合肥,230037
2. 中国人民解放军94362部队,山东,青岛,266111
摘    要:为提高对机动目标的跟踪精度,提出了一种新的基于最小模型集切换的变结构IMMPF跟踪算法,其中以"当前"统计模型为基础的不同最小模型集在不同时刻之间的切换实现了多模型的结构变换。当目标机动方式发生改变时,通过最小模型集的切换实现算法的滤波模型与目标实际机动方式的快速匹配,减小了目标机动的响应时间。通过仿真实验,与通用的IMM估计进行了比较,证明了算法的优越性。

关 键 词:目标跟踪  变结构多模型  粒子滤波  最小模型集

New Variable Structure IMMPF Algorithm Based on Minimal Model Set Switching
XUE Lei,WANG Bo.New Variable Structure IMMPF Algorithm Based on Minimal Model Set Switching[J].Modern Defence Technology,2011,39(1):109-113,128.
Authors:XUE Lei  WANG Bo
Institution:XUE Lei1,WANG Bo2 (1.Electronic Engineering Institute,Electronic Countermeasure Department,Anhui Hefei 230037,China,2.PLA,No.94362 Troop,Shandong Qingdao 266111,China)
Abstract:In order to enhance the tracing precision,a new variable structure IMMPF tracking algorithm is presented.Thus,variable structure is realized by switching the minimal model set composed of current statistic model at different times.When moving model of the target is changed,filtering model in this algorithm can match the real moving model of the target by switching the least model set.Consequently,the response time to the maneuver target is reduced.Compared with general IMM algorithm,simulation proves the su...
Keywords:target tracking  variable structure multiple model  particle filtering  least model set  
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