Title :
SH-STF: A novel adaptive filter and its application in SINS/GPS/DVS integrated navigation
Author :
Yan, Liping ; Xia, Yuanqing ; Fu, Mengyin
Author_Institution :
Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing 100081, China
Abstract :
This paper is concerned with adaptive filter and its application in SINS/GPS/DVS integrated navigation. A novel adaptive filter, namely, SH-STF, is presented by combining the Sage-Husa (SH) adaptive filter with the strong tracking filter (STF). For multirate sampling dynamic system and in consideration of observations randomly missing, SH-STF is applied to data fusion and SINS/GPS/DVS integrated navigation. Simulation results show the feasibility and effectiveness of the presented algorithm.
Keywords :
Data integration; Global Positioning System; Noise; Sensors; State estimation; Voltage control; Sage-Husa adaptive filter; data fusion; integrated navigation; strong tracking filter;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260397
