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Titolo/Abstract/Parole chiave

Wireless Localization Systems: Statistical Modeling and Algorithm Design

Bartoletti, Stefania (2015) Wireless Localization Systems: Statistical Modeling and Algorithm Design. Tesi di Dottorato , Università degli Studi di Ferrara.

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    Abstract

    Wireless localization systems are essential for emerging applications that rely on context-awareness, especially in civil, logistic, and security sectors. Accurate localization in indoor environments is still a challenge and triggers a fervent research activity worldwide. The performance of such systems relies on the quality of range measurements gathered by processing wireless signals within the sensors composing the localization system. Such range estimates serve as observations for the target position inference. The quality of range estimates depends on the network intrinsic properties and signal processing techniques. Therefore, the system design and analysis call for the statistical modeling of range information and the algorithm design for ranging, localization and tracking. The main objectives of this thesis are: (i) the derivation of statistical models and (ii) the design of algorithms for different wire- less localization systems, with particular regard to passive and semi-passive systems (i.e., active radar systems, passive radar systems, and radio frequency identification systems). Statistical models for the range information are derived, low-complexity algorithms with soft-decision and hard-decision are proposed, and several wideband localization systems have been analyzed. The research activity has been conducted also within the framework of different projects in collaboration with companies and other universities, and within a one-year-long research period at Massachusetts Institute of Technology, Cambridge, MA, USA. The analysis of system performance, the derived models, and the proposed algorithms are validated considering different case studies in realistic scenarios and also using the results obtained under the aforementioned projects.

    Tipologia del documento:Tesi di Dottorato (Tesi di Dottorato)
    Data:30 Marzo 2015
    Relatore:Conti, Andrea - Win, Moe Z.
    Coordinatore ciclo:Trillo, Stefano
    Istituzione:Università degli Studi di Ferrara
    Dottorato:XXVII Anno 2012 > SCIENZE DELL'INGEGNERIA
    Struttura:Dipartimento > Ingegneria
    Soggetti:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 Telecomunicazioni
    Parole chiave:wideband, ranging, localization, tracking, inference
    Depositato il:05 Ago 2015 09:14

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