Please use this identifier to cite or link to this item: http://hdl.handle.net/11144/3631
Title: RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks
Authors: Dinis, Rui
Beko, Marko
Tomic, Slavisa
Tuba, Milan
Bacanin, Nebojsa
Keywords: Target localization
Target tracking
Received signal strength (RSS)
Angle of arrival (AoA)
Maximum likelihood (ML) estimation
Second-order cone programming (SOCP) problem
Semidefinite programming (SDP) problem
Generalized trust region sub-problem (GTRS)
Maximum a posteriori (MAP) estimator
Kalman filter (KF)
Issue Date: 2017
Publisher: River Publishers
Abstract: The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them.
URI: http://hdl.handle.net/11144/3631
ISBN: 9788793519886
Publisher version: http://www.riverpublishers.com/book_details.php?book_id=440
Appears in Collections:DCT - Livros e Capítulos de Livros

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