RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks

• Autor(a) principal: Dinis, Rui
• Data de Publicação: 2017
• Outros Autores: Beko, Marko, Tomic, Slavisa, Tuba, Milan, Bacanin, Nebojsa
• Tipo de documento: Livro
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/11144/3631
• topic: 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)

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.