Shmaliy, YuriyVillalón-Turrubiates, Iván E.Andrade-Lucio, José A.Ibarra-Manzano, Óscar G.2016-04-252016-04-252003I. 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. 274-277.0-7803-7948-9http://hdl.handle.net/11117/3315This 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.engSignal ProcessingKalman AlgorithmEstimation TheoryGlobal Positioning SystemDigital Filteringinfo:eu-repo/semantics/conferencePaper