Three-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary object
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Date
2003Author
Shmaliy, Yuriy
Villalón-Turrubiates, Iván E.
Andrade-Lucio, José A.
Ibarra-Manzano, Óscar G.
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This project presents the 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. Because this is not the only filtering algorithm available, a comparison with other four types of filters (one-dimensional optimal Kalman algorithm, quasi-optimal stationary Kalman algorithm, simple moving average algorithm and optimally unbiased moving average algorithm) is also developed.Consejo Nacional de Ciencia y Tecnología
Universidad de Guanajuato