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

Volume

2

fYear

2003

fDate

16-20 Sept. 2003

Firstpage

274

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CAOL.2003.1251330

Filename

1251330