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《Engineering Journal of Wuhan University》 2006-01
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A novel particle filter algorithm

WANG Laixiong,HUANG Shitan(Xi'an Microelectronic Technique Institute,Xi'an 710075,China)  
Based on combination of sampling importance resampling(SIR) and unscented Kalman filter(UKF),a novel particle filter is proposed,possessing the merits of high utility efficiency of particles in unscented particle filter(UPF) and of simple operation in SIR,and overcoming the drawback of the rate of increase of computational cost being faster than that of state dimension in UPF.Simulation results show that the proposed algorithm reduces UPF computation notably on the premise of almost not weakening performance.
【Fund】: 航天“十五”预研基金项目(编号:413160203)
【CateGory Index】: TN713
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