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STOCHASTIC NEURAL NETWORK AND ITS APPLICATION TO MULTI-MANEUVERING TARGET TRACKING
作者姓名:Jing Zhongliang  Dai Guanzhong  Tong Mingan  Zhou Hongren
作者单位:Depl. of Aulomalic Conlrol,Northwestern PolytechnicalUniversitt',Xi'an,China,710072
摘    要:STOCHASTICNEURALNETWORKANDITSAPPLICATIONTOMULTI-MANEUVERINGTARGETTRACKINGJingZhongliang;DaiGuanzhong;TongMingan;ZhouHongren(D...


STOCHASTIC NEURAL NETWORK AND ITSAPPLICATION TO MULTI-MANEUVERINGTARGET TRACKING
Jing Zhongliang, Dai Guanzhong, Tong Mingan, Zhou Hongren.STOCHASTIC NEURAL NETWORK AND ITSAPPLICATION TO MULTI-MANEUVERINGTARGET TRACKING[J].Chinese Journal of Aeronautics,1995(1).
Authors:Jing Zhongliang  Dai Guanzhong  Tong Mingan  Zhou Hongren
Abstract:A novel fast adaptive tracking scheme based on stochastic neural nctworkfor multi-maneuvering targets is presented. The properties of the joint probabilistic da-ta association (JPDA) are analysed, the data association is reduced to be a sort of con-straint coinbinatorial optimization problem, and the computational burden ofmulti-maneuvering target tracking (MMTT) can be decreased drastically by stochasticneural network. Computer simulations show that the scheme proposed has highconvergence performance, a good tracking accuracy and robustness to the uncertaintyof maneuvenng targets and clutter environments.
Keywords:multiple target tracking  data corrclation  neural nets  networks
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