Skip to Main content Skip to Navigation
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.
Document type :
Master Thesis
Complete list of metadatas

https://dumas.ccsd.cnrs.fr/dumas-01804309
Contributor : Cnam - Service Commun de la Documentation - Esgt <>
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

File

MAMBOU.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : dumas-01804309, version 1

Collections

Citation

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

Share

Metrics

Record views

53

Files downloads

1081