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 |
Files in This Item:
File | Description | Size | Format | |
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RSS-AoA based target localization and tracking in wireless sensor networks.pdf | 99,16 kB | Adobe PDF | View/Open |
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