Utilize este identificador para referenciar este registo: http://hdl.handle.net/10437/9746
Título: A Linear Estimator for Network Localization Using Integrated RSS and AOA Measurements
Autores: Tomic, Slavisa
Beko, Marko
Tuba, Milan
Palavras-chave: RECEIVED SIGNAL STRENGTH
ANGLE OF ARRIVAL
ENGENHARIA ELETROTÉCNICA
ELECTROTECHNICAL ENGINEERING
REGRESSÕES LINEARES
LINEAR REGRESSIONS
RECEIVED SIGNAL STRENGTH
ANGLE OF ARRIVAL
Editora: IEEE
The Society of Systematic Innovation
Relatório da Série N.º: 10.1109/LSP.2019.2892225
Resumo: This letter addresses the problem of simultaneous localization of multiple targets in three-dimensional cooperative wireless sensor networks. To this end, integrated received signal strength and angle of arrival measurements are employed. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. Unlike the maximum likelihood estimator, which is highly non-convex and difficult to tackle directly, the derived estimator is quadratic and has a closed-form solution. Its computational complexity is linear in the number of connections and its accuracy surpasses the accuracy of existing ones in all considered scenarios.
Descrição: IEEE Signal Processing Letters
URI: http://hdl.handle.net/10437/9746
Aparece nas colecções:MOVLAB - Artigos de Revistas Internacionais com Arbitragem Científica

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