Title :
Three-dimensional optimal Kalman algorithm for GPS-based positioning estimation of the stationary object
Author :
Villalon-Turrubiates, Ivan E. ; Ibarra-Manzano, O.G. ; Shmaliy, Y.S. ; Andrade-Lucio, J.A.
Author_Institution :
Fac. de Ingenieria Mecanica, Electrica y Electronica, Univ. de Guanajuato, Salamanca
Abstract :
In this paper design and development of a multidimensional Kalman filter with the purpose to estimate the tri-dimensional position of a stationary object based on GPS measurements is presented. Because this is not the only filtering algorithm available, a comparison with other four types of filters (one-dimensional optimal Kalman algorithm, quasioptimal stationary Kalman algorithm, simple moving average algorithm and optimally unbiased moving average algorithm) is also developed
Keywords :
Global Positioning System; Kalman filters; navigation; statistical analysis; multidimensional Kalman filter design; one-dimensional optimal Kalman algorithm; optimally unbiased moving average algorithm; quasioptimal stationary Kalman algorithm; simple moving average algorithm; stationary object GPS-based positioning estimation; stationary object tri-dimensional position; three-dimensional optimal Kalman algorithm; Covariance matrix; Filtering algorithms; Global Positioning System; Interference; Kalman filters; Nonlinear filters; Position measurement; Radio navigation; State estimation; White noise;
Conference_Titel :
Advanced Optoelectronics and Lasers, 2003. Proceedings of CAOL 2003. First International Conference on
Conference_Location :
Alushta, Crimea
Print_ISBN :
0-7803-7948-9
DOI :
10.1109/CAOL.2003.1251330
