Analysis of Kalman filter approximations for nonlinear measurements

Morelande, Mark R. and García Fernández, Ángel Froilán ORCID: https://orcid.org/0000-0002-6471-8455 (2013). Analysis of Kalman filter approximations for nonlinear measurements. "IEEE Transactions on Signal Processing", v. 61 (n. 22); pp. 5477-5484. https://doi.org/10.1109/TSP.2013.2279367.

Descripción

Título: Analysis of Kalman filter approximations for nonlinear measurements
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Transactions on Signal Processing
Fecha: Noviembre 2013
Volumen: 61
Número: 22
Materias:
ODS:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Ninguna

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Resumen

A theoretical analysis is presented of the correction step of the Kalman filter (KF) and its various approximations for the case of a nonlinear measurement equation with additive Gaussian noise. The KF is based on a Gaussian approximation to the joint density of the state and the measurement. The analysis metric is the Kullback-Leibler divergence of this approximation from the true joint density. The purpose of the analysis is to provide a quantitative tool for understanding and assessing the performance of the KF and its variants in nonlinear scenarios. This is illustrated using a numerical example.

Más información

ID de Registro: 92308
Identificador DC: https://oa.upm.es/92308/
Identificador OAI: oai:oa.upm.es:92308
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/5489111
Identificador DOI: 10.1109/TSP.2013.2279367
URL Oficial: https://ieeexplore.ieee.org/document/6584787
Depositado por: Dr. Ángel García Fernández
Depositado el: 12 Dic 2025 07:03
Ultima Modificación: 12 Dic 2025 07:03