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dc.contributor.authorShmaliy, Yuriy
dc.contributor.authorVillalón-Turrubiates, Iván E.
dc.contributor.authorAndrade-Lucio, José A.
dc.contributor.authorIbarra-Manzano, Óscar G.
dc.date.accessioned2016-04-25T15:05:46Z
dc.date.accessioned2023-03-21T21:08:20Z
dc.date.available2016-04-25T15:05:46Z
dc.date.available2023-03-21T21:08:20Z
dc.date.issued2003
dc.identifier.citationI. 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.es
dc.identifier.isbn0-7803-7948-9
dc.identifier.urihttps://hdl.handle.net/20.500.12032/75396
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.es
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologíaes
dc.description.sponsorshipUniversidad de Guanajuatoes
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofseriesProceedings of the IEEE International Conference on Advanced Optoelectronics and Lasers (CAOL);
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectSignal Processinges
dc.subjectKalman Algorithmes
dc.subjectEstimation Theoryes
dc.subjectGlobal Positioning Systemes
dc.subjectDigital Filteringes
dc.titleThree-dimensional optimal kalman algorithm for GPS-based positioning estimation of the stationary objectes
dc.typeinfo:eu-repo/semantics/conferencePaperes


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