DocumentCode
3098549
Title
Random Weighting Estimation of White Noise Error Characteristic in Integrated INS/GPS/SAR System
Author
Gao, Shesheng ; Feng, Zhihua ; Li, Huaxing
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xian
fYear
2006
fDate
Nov. 28 2006-Dec. 1 2006
Firstpage
50
Lastpage
50
Abstract
Random weighting estimation is an emergent algorithmic method in statistic, which is firstly applied to the research of navigation system in this paper. An algorithm is presented for on-line random weighting estimating the white noise errors of integrated INS/GPS/SAR navigation system. Secondly, The Random weighting estimation is presented in terms of variance and drift rate parameters, and the method applied to estimate the white noise errors of INS/GPS/SAR navigation system is proved to be effective. Research result shows that the random weighting estimation has a better performance than other statistic estimation methods.
Keywords
Global Positioning System; estimation theory; inertial navigation; random processes; synthetic aperture radar; white noise; GPS; INS; SAR system; drift rate parameter; global positioning system; inertial navigation system; random weighting estimation; synthetic aperture radar; variance parameter; white noise error characteristic; Automation; Computational intelligence; Educational institutions; Error analysis; Error correction; Global Positioning System; Navigation; Random variables; Statistical distributions; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
0-7695-2731-0
Type
conf
DOI
10.1109/CIMCA.2006.169
Filename
4052694
Link To Document