DocumentCode
3203288
Title
Application of Modified Strong Tracking Filter in GPS/INS Integrated Navigation System
Author
Wei-dong Zhou ; Jia-nan Cai
Author_Institution
Dept. of Autom., Harbin Eng. Univ., Harbin, China
fYear
2012
fDate
8-10 Dec. 2012
Firstpage
957
Lastpage
961
Abstract
Enhancing the noise intensity is the rife method for compensating the errors of velocity caused by lever arm distortion. But the academic statistical characteristic of measurement noise is different from actual noise. So this paper proposes a new method to compensate errors of velocity. The new method is that static velocity errors caused by the lever arm distortion are compensated in the measurement equations and dynamic errors are added into the measurement noise. The statistical characteristic of new measurement noise is not constant and it changes in real-time. At the same time this paper proposes modified strong tracking filter, it is suitable for upon environment. The new algorithm can track and estimate the statistical characteristic of new measurement noise in real-time. The results of simulation experiment show the modified strong tracking algorithm can improve the navigation precision, which is an effective and practical method.
Keywords
Global Positioning System; navigation; statistical analysis; tracking filters; GPS/INS integrated navigation system; actual noise; dynamic errors; lever arm distortion; measurement equations; modified strong tracking filter application; noise intensity enhancement; noise measurement; static velocity errors; statistical characteristic; Distortion measurement; Global Positioning System; Mathematical model; Measurement uncertainty; Noise; Noise measurement; integrated navigation system; loose coupled; measurement noise; strong tracking filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2012 Second International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4673-5034-1
Type
conf
DOI
10.1109/IMCCC.2012.229
Filename
6429064
Link To Document