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Master Thesis

Filtrage de Kalman à bruits corrélés pour le positionnement précis

Abstract : The Kalman filter correlated noises can be considered as an alternative to conventional filtering solutions, because it improves the positioning accuracy. The applications of this new filter would be very interesting for the coupling of measures in the following areas, photogrammetry, aerial remote sensing, bathymetry and «mobile mapping». The objective of this work graduation, is to assess the Kalman filter performance correlated noises in an auscultation experience. In order to demonstrate the power of this filter, it must estimate by the maximum likelihood, one hand the variance of the evolution model and the other hand, the correlation models (same noises correlation structure for the evolution and observation models) setting beforehand a correlation structure to said models.
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Master Thesis
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Submitted on : Thursday, May 31, 2018 - 3:55:42 PM
Last modification on : Saturday, February 8, 2020 - 12:02:15 PM
Long-term archiving on: : Saturday, September 1, 2018 - 2:36:43 PM


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  • HAL Id : dumas-01804309, version 1



Ulrich Mambou Kuipou. Filtrage de Kalman à bruits corrélés pour le positionnement précis. Sciences de l'ingénieur [physics]. 2016. ⟨dumas-01804309⟩



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