PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING
Li Baoli 1,2) ;Gong Yisong 1) ;Zhang Jinjun 3) ; and Li Qigao 4)
1)Institute of Surveying and Mapping, PLA Information Engineering University, Zhengzhou 4500522)Bureau of Surveying and Mapping of General Staff, Beijing 1000883) Branch 22 of Troop 92493, Huludao 1250004) Bureau of Hydrology and Resource of Sanmenxia Reservoir Area of YRCC, Sanmenxia 472000
Abstract As it is quite important to choose a reasonable proposal distribution function for the particle filtering,a new proposal distribution function is designed. This scheme fuses the extended Kalman filter and the RTS fixed interval smoothing to generate the proposal distribution function. Compared to the particle filtering with only the proposal distribution function of extended Kalman filter, this method can give more accurate estimation results, and make the system more robust. An experiment for the GPS/DR integrated simulation system validates the effectiveness of the new approach.
Li Baoli,Gong Yisong ,Zhang Jinjun et al. PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING[J]. , 2010, 30(2): 152-155.
Li Baoli,Gong Yisong ,Zhang Jinjun et al. PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING[J]. jgg, 2010, 30(2): 152-155.
