Title:
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Fuzzy techniques for robust localization & tracking
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Author:
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Pérez Neira, Ana Isabel; Lagunas Hernandez, Miguel A.; Bas, J
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Telecommunication -Telecomunicació |
Rights:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type:
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Article - Published version Conference Object |
Published by:
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GRETSI SERVICE
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