info:eu-repo/semantics/conferencePaper
Three-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary object
Registro en:
I. E. Villalón-Turrubiates, O. G. Ibarra-Manzano, Y. Shmaliy y J. A. Andrade-Lucio, “Three-Dimensional Optimal Kalman Algorithm for GPS-Based Positioning Estimation of the Stationary Object”, in Proceedings of the IEEE International Conference on Advanced Optoelectronics and Lasers (CAOL), Alushta Ucrania, 2003, pp. 274-277.
0-7803-7948-9
Autor
Shmaliy, Yuriy
Villalón-Turrubiates, Iván E.
Andrade-Lucio, José A.
Ibarra-Manzano, Óscar G.
Institución
Resumen
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