| dc.contributor.author | Tapia Martínez, Dante I. | |
| dc.contributor.author | De Paz, Juan F. | |
| dc.contributor.author | Pinzón, Cristian | |
| dc.contributor.author | Bajo Pérez, Javier | |
| dc.date.accessioned | 2017-09-06T09:14:42Z | |
| dc.date.available | 2017-09-06T09:14:42Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | International Symposium on Distributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing. pp. 311-318. | |
| dc.identifier.issn | http://id.crossref.org/isbn/978-3-642-19933-2(Print)/ http://id.crossref.org/isbn/978-3-642-19934-9(Online) | |
| dc.identifier.uri | http://dx.doi.org/10.1007/978-3-642-19934-9_40 | |
| dc.identifier.uri | http://hdl.handle.net/10366/134905 | |
| dc.description.abstract | Real-Time Locating Systems (RTLS) are one of the most promising ap- plications based on Wireless Sensor Networks and represent a currently growing market. However, accuracy in indoor RTLS is still a problem requiring novel solu- tions. 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 attenuation, diffrac- tion, reflection and scattering. These effects can lead to other undesired problems, such as multipath and the ground reflection effect. This paper presents an innova- tive mathematical model for improving the accuracy of RTLS, focusing on the mitigation of the ground reflection effect by using Artificial Neural Networks. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Springer Science + Business Media | |
| dc.subject | Computer Science | |
| dc.title | Mitigation of the Ground Reflection Effect in Real-Time Locating Systems | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
