Three-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary object
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Fecha
2003
Autores
Shmaliy, Yuriy
Villalón-Turrubiates, Iván E.
Andrade-Lucio, José A.
Ibarra-Manzano, Óscar G.
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Editor
Institute of Electrical and Electronics Engineers
Resumen
Descripción
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.
Palabras clave
Signal Processing, Kalman Algorithm, Estimation Theory, Global Positioning System, Digital Filtering
Citación
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.