Three-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary object

dc.creatorShmaliy, Yuriy
dc.creatorVillalón-Turrubiates, Iván E.
dc.creatorAndrade-Lucio, José A.
dc.creatorIbarra-Manzano, Óscar G.
dc.date2016-04-25T15:05:46Z
dc.date2016-04-25T15:05:46Z
dc.date2003
dc.date.accessioned2023-07-21T22:10:59Z
dc.date.available2023-07-21T22:10:59Z
dc.identifierI. 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.
dc.identifier0-7803-7948-9
dc.identifierhttp://hdl.handle.net/11117/3315
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7761207
dc.descriptionThis 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.
dc.descriptionConsejo Nacional de Ciencia y Tecnología
dc.descriptionUniversidad de Guanajuato
dc.formatapplication/pdf
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationProceedings of the IEEE International Conference on Advanced Optoelectronics and Lasers (CAOL);
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf
dc.subjectSignal Processing
dc.subjectKalman Algorithm
dc.subjectEstimation Theory
dc.subjectGlobal Positioning System
dc.subjectDigital Filtering
dc.titleThree-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary object
dc.typeinfo:eu-repo/semantics/conferencePaper


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