INTERVAL ADAPTIVE ALGORITHM FOR GPS/INSINTEGRATED NAVIGATION SYSTEM
Le Yang ;and He Xiufeng
College of Civil Engineering, Hohai University, Nanjing 210098
Abstract The standard Kalman filter cannot be used exactly when some parameters of integrated navigation system are not precisely known or gradually changed with time. Acoording to the principle of adaptive filtering analysis, a method of adaptive factor construction with uncertain parameter based on interval math is proposed.As the interval of uncertain parameter is known, the estimation of interval of adaptive factor is discussed. The method is examined by using the GPS/INS integrated navigation system developed by authors. The results show that the proposed method is effective.
Key words ：
interval adaptive algorithm
Kalman filtering
GPS
INS
adaptive factor
Received: 01 January 1900
Corresponding Authors:
Le Yang
Cite this article:
Le Yang,and He Xiufeng. INTERVAL ADAPTIVE ALGORITHM FOR GPS/INSINTEGRATED NAVIGATION SYSTEM[J]. , 2010, 30(2): 113-116.
Le Yang,and He Xiufeng. INTERVAL ADAPTIVE ALGORITHM FOR GPS/INSINTEGRATED NAVIGATION SYSTEM[J]. jgg, 2010, 30(2): 113-116.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2010/V30/I2/113
[1]
HU Haojie，ZHAO Xingwang，LIU Chao，TIAN Xiancai. An Adaptive Kalman Filter for Dynamics Model Abnormity of PPP
[2]
XU Wei,YU Xuexiang,JIA Xue,YAN Chao,WANG Tao. Performance Analysis of Medium-Long Baseline Solution in GPS/BDS System Based on 3D Mobile Deformation Platform
[3]
DONG Mingxu,LI Jiancheng,HUA Liangchun,JIANG Weiping,YIN Haohua,AO Minsi,ZENG Xiangqiang. Hunan 2017 GNSS Gravity Quasi-Geoid Model and Its Precision Analysis
[4]
YANG Jiudong,WU Fenghua,WANG Wenjun. GPS Signal Acquisition Method: Based on Average Grouping and Superposition Correlation
[5]
RONG Jing，LIU Lilong， KANG Haohua， LI Songqing，ZHOU Lü. The Deformation Prediction of ARMA and PSO-SVM Model Based on Variance Compensation Adaptive Kalman Filter
[6]
GAO Kang,ZHANG Shoujian,KUANG Kaifa,CAO Xinyun,LI Jiancheng. An Efficient Approach for Real-Time GPS Satellite Clock Estimation Using OpenMP
[7]
DU Yuan,HUANG Guanwen,TU Rui,WANG Li,WANG Jin. A Kinematic Precision Point Positioning Algorithm with Real-time Position Prediction Information
[8]
LI Hao, GU Yongwei,GUO Shumei,ZHANG Guochao. Double-Parameter Ridge-Type Kalman Filter Based on Signal-to-Noise Ratio Test and Its Application in BDS Combined Orbit Determination with Satellite-Ground Observations
[9]
HAN Yakun,WEN Hongyan,ZHANG Yihang,CHEN Guanyu,ZHOU Lü. The Application of Robust Adaptive Kalman Filter Based on Chi-Square Test in Deformation Monitoring
[10]
CHEN Quanyu,SUI Lifen,LIU Qiankun,WANG Lingxuan,ZENG Tian. Robust Adaptive Filtering for Precise Point Positioning
[11]
SHAN Yi,YANG Jianwei,WANG Xinzhi. Analysis and Prediction of Deformation Data Based on Online Echo State Network
[12]
LUAN Yuanzhong,LUAN Hengxuan,LI Wei,WENG Liyuan,DU Yuxi. Research on Wavelet Denoising and Kalman Filter in Bridge
Deformation Monitoring Data
[13]
CAI Qi,LIU Ning,DAI Wujjiao,YANG Dedi. The Robust Kalman Filtering with Continuous Variable
Equivalent Weight Function
[14]
WANG Yupu,Lv Zhiping,GONG Xiaochun,ZHOU Haitao,WANG Ning. Analysing and Comparing the Prediction Performance of Several Satellite
Clock Bias Prediction Models
[15]
FAN Guoze,LI Bofeng,SHEN Yunzhong. Performance Analysis of GPS/GLONASS Single\|Epoch Ambiguity Resolution
