Implementing a real-time locating system based on wireless sensor networks and artificial neural networks to mitigate the multipath effect

Tapia Martínez, Dante I.; Alonso Rincón, Ricardo Serafín; Rodríguez González, Sara; Prieta Pintado, Fernando de la

Título

dc.contributor.author	Tapia Martínez, Dante I.
dc.contributor.author	Alonso Rincón, Ricardo Serafín
dc.contributor.author	Rodríguez González, Sara
dc.contributor.author	Prieta Pintado, Fernando de la
dc.date.accessioned	2017-09-06T09:14:43Z
dc.date.available	2017-09-06T09:14:43Z
dc.date.issued	2011-07
dc.identifier.citation	Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on . pp. 1-8.
dc.identifier.isbn	978-1-4577-0267-9
dc.identifier.uri	http://hdl.handle.net/10366/134907
dc.description.abstract	Wireless Sensor Networks comprise an ideal technology to develop Real-Time Locating Systems (RTLSs) aimed at indoor environments, where existing global navigation satellite systems do not work correctly due to the blockage of the satellite signals. In this regard, one of the main challenges is to deal with the problems that arise from the effects of the propagation of radio frequency waves, such as multipath. This paper presents an innovative mathematical model for improving the accuracy of RTLSs, focusing on the mitigation of the multipath effect by using Multi-Layer Perceptron Artificial Neural Networks. The model is used to implement a novel indoor Real-Time Locating System based on Wireless Sensor Networks.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	IEEE
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Implementing a real-time locating system based on wireless sensor networks and artificial neural networks to mitigate the multipath effect
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess