STUDY ON GPS NAVIGATION MODEL BASED ON EKPF
1）China University of Mining and Technology, Key Laboratory for Land Environment and Disaster Monitoring of SBSM，Xuzhou 221116
Abstract In order to assess the system performance, the GPS constellation and the moving trajectory of receiver are simulated, a 11dimensional state PositionVelocityAcceleration (PVA) navigation model is used for analysis. The EKF and EKPF model are separately adopted to obtain the navigation solution, the simulated results show that both the two models are satisfactory, while the navigation performance of the proposed EKPF algorithm is superior to EKF, especially in vertical direction, and impact of multipath effect has been reduced.
Key words ：
GPS navigation
navigation model
particle filter(PF)
extended Kalman filter(EKF)
extended Kalman particle filter
Received: 15 October 2012
Published: 18 April 2013
Cite this article:
Han Houzeng,Wang Jian,Li Zengke et al. STUDY ON GPS NAVIGATION MODEL BASED ON EKPF[J]. jgg, 2013, 33(2): 139-142.
Han Houzeng,Wang Jian,Li Zengke et al. STUDY ON GPS NAVIGATION MODEL BASED ON EKPF[J]. jgg, 2013, 33(2): 139-142.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2013/V33/I2/139
[1]
LIU Lili,LIN Xueyuan,YU Feng,CHEN Xiangguang. A Filtering Method of SINS/CNS/GNSS Integrated Navigation System
[2]
CHANG Ming,PAN Lijun,MENG Xiangang,XU Yujian,XU Kai. Research on Slope Deformation Monitoring Based on LiDAR
[3]
TANG Weiming,LIU Qian,SHEN Mingxing,DENG Chenlong,CUI Jianhui. Estimation Algorithm and Performance Analysis of the Differential Inter-System Bias of BDS and GPS
[4]
ZHENG Hongyan，TIAN Xiao，ZHANG Chao，WANG Shijin，XU Mingyuan. Analysis of Cross-Fault Deformation Using Particle Filter
[5]
Zhang Liang，Gao Jingxiang，Li Zengke and Wang Jian. THE APPLICATION OF ROBUST EKF ALGORITHM BASED ON
VONDRAK GROSS ERROR DETECTION TO GPS NAVIGATION
[6]
Tan Bingfeng,Yuan Yunbin,Liu Teng, Wang Ningbo. PRECISE ORBIT DETERMINATION OF GPS NAVIGATION
CONSTELLATION BASED ON CLUSTERS METHOD USING
GLOBAL IGS STATION OBSERVATIONS
[7]
Liu Ming;and Wang Haijun . INERTIAL/GEOMAGNETIC INTEGRATED NAVIGATION ALGORITHM BASED IMM-PF
[8]
Qin Zhen;Gao Jingxiang;and Wang Jian. ROBUST ADAPTIVE SCENTLESS PARTICLE FILTER
[9]
Li Baoli;Gong Yisong ;Zhang Jinjun ;and Li Qigao . PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING
[10]
Gong Yisong ;Gui Qingming ;Li Baoli ;and Wang Junjiang . ADAPTIVE FADING EXTENDED KALMAN PARTICLE FILTERING APPLIED TO INTEGRATED NAVIGATION
[11]
Nie Jianliang. PARTICLE FILTER BASED ON ADAPTIVE UNSCENTED KALMAN FILTER
[12]
Gong Yisong ;Gui Qingming ;Sun Fuping ; and Li Hui . MEASURING CRITERION FOR NONLINEARITY DEGREE ANDESTIMATION PERFORMANCE OF NONLINEAR FILTRATION
[13]
Zhou Zebo ;Shen Yunzhong;and Li Bofeng . GPS KINEMATIC POSITIONING BASED ON PHASE SMOOTHING PSEUDORANGE AND DOPPLER DATA
