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GNSS signals processing via linear and extended Kalman filters
Author(s) -
Hajiyev Chingiz
Publication year - 2011
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.304
Subject(s) - gnss applications , kalman filter , estimator , computer science , position (finance) , satellite system , control theory (sociology) , linearization , extended kalman filter , satellite , global positioning system , satellite navigation , nonlinear system , engineering , mathematics , artificial intelligence , control (management) , telecommunications , statistics , physics , finance , quantum mechanics , economics , aerospace engineering
In this paper, a new linear estimator that enables solution of the user position estimation problem has been designed for the case of global navigation satellite system (GNSS) utilization. The proposed recursive linear Kalman filter (LKF) does not need any linearization for nonlinear GNSS measurements and enables accurate estimation of the user coordinates and the distance measuring errors resulting from the time differences between the user and the satellite (clock bias). Comparison of the presented linear and conventional extended Kalman filters for the stationary and moving users' position estimation via GNSS measurements is performed. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society