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
fDate :
Nov. 28 2006-Dec. 1 2006
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;
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
DOI :
10.1109/CIMCA.2006.169