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基于VS-IMM算法的A-SMGCS场面运动目标跟踪
引用本文:宫淑丽,陶,诚,王帮峰等.基于VS-IMM算法的A-SMGCS场面运动目标跟踪[J].南京航空航天大学学报,2012,44(1):118-123.
作者姓名:宫淑丽      王帮峰等
作者单位:南京航空航天大学民航学院
基金项目:国家自然科学基金(61079003)资助项目;南京航空航天大学基本科研业务费专项科研(NS2010173)资助项目
摘    要:为实现先进场面运动引导控制系统中场面监视雷达对运动目标的跟踪,研究了将变结构交互式多模型(Variable structure interacting multiple model,VS-IMM)算法应用到该系统中。首先,根据飞机的真实运动情况建立了飞机的匀速运动、匀加速运动和匀速转弯运动模型;然后,针对固定结构交互式多模型(Fixed structureinteractive multiple model,FS-IMM)算法在目标跟踪方面的不足,结合机场地图,将VS-IMM算法应用到机场场面运动目标跟踪中;最后,基于扩展卡尔曼滤波将VS-IMM算法与FS-IMM算法进行仿真比较。结果表明:VS-IMM算法的跟踪精度及模型选择均优于FS-IMM算法,VS-IMM算法在场面跟踪方面具有更大的应用价值。

关 键 词:目标跟踪  交互式多模型算法  扩展卡尔曼滤波

Maneuvering Target Tracking on Airport Surface for A-SMGCS Based on VS-IMM Algorithm
Gong Shuli,Tao Cheng,Wang Bangfeng,Huang Shengguo.Maneuvering Target Tracking on Airport Surface for A-SMGCS Based on VS-IMM Algorithm[J].Journal of Nanjing University of Aeronautics & Astronautics,2012,44(1):118-123.
Authors:Gong Shuli  Tao Cheng  Wang Bangfeng  Huang Shengguo
Institution:(College of Civial Aviation,Nanjing University of Aeronautics & Astronautics,Nanjing,210016,China)
Abstract:Aiming at tracking maneuvering target of surface movement radar(SMR) for the advanced surface movement guidance and control system(A-SMGCS),the variable structure interacting multiple model(VS-IMM) algorithm is used in the system.Firstly, according to the real movement of aircraft,a constant velocity motion model is established,as well as a constant acceleration motion model and a constant turn motion model.Then,considering the defects of the fixed structure interacting multiple model(FS-IMM) algorithm,the VS-IMM algorithm is applied to the airport surface movement target tracking by combining with the airport map.Finally,VS-IMM and FS-IMM algorithms are designed by extended Kalman filtering(EKF),and they are compared through computer simulation.Simulation results show that VS-IMM algorithm is more reliable than IMM algorithm on tracking accuracy.So VS-IMM algorithm has the greater value on surface maneuvering target tracking.
Keywords:target tracking  interacting multiple model(IMM)  extended Kalman filtering(EKF)
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