Fuzzy techniques for robust localization & tracking
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/103461
Tipus de documentText en actes de congrés
Data publicació1997
EditorGRETSI SERVICE
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This work addresses the problem of spatial reference estimation in
mobile scenarios. Novel techniques based on fuzzy logic are
introduced to enhance the performance of a tracking system.
Specifically, the model-free function approximation capability of
fuzzy logic is used to obtain high resolution angle estimates from
the spatial spectral density. These estimates are used to improve the
resolution of the tracker. To the authors knowledge it is the first
time that fuzzy logic is introduced in array spectral estimation. This
work also develops a fuzzy controller for acting as an interpolative
supervisor of different trackers that apply in different operating
conditions of the dynamic nonlinear system. The result is a robust
localization and tracking system that presents a low computational
burden and that attains a resolution comparable to that of Singular
Value Decomposition techniques.
CitacióPerez, A., Lagunas, M., Bas, J. Fuzzy techniques for robust localization & tracking. A: 5th COLLOQUE SUR LE TRAITEMENT DU SIGNAL ET DES IMAGES. "PROCEEDING". Grenoble: GRETSI SERVICE, 1997, p. 933-936.
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