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| Título: | Self-positioning and mapping of rectangular rooms with sectorized narrowband antennas |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 20th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) |
| Fechas del Evento: | 11/09/2012 - 13/09/2012 |
| Lugar del Evento: | Split, Croacia |
| Título del Libro: | International Conference on Software, Telecommunications and Computer Networks (SoftCOM) |
| Fecha: | 2012 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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A system for simultaneous 2D estimation of rectangular room and transceiver localization is proposed. The system is based on two radio transceivers, both capable of full duplex operations (simultaneous transmission and reception). This property enables measurements of channel impulse response (CIR) at the same place the signal is transmitted (generated), commonly known as self-to-self CIR. Another novelty of the proposed system is the spatial CIR discrimination that is possible with the receiver antenna design which consists of eight sectorized antennas with 45° aperture in the horizontal plane and total coverage equal to the isotropic one. The dimensions of a rectangular room are reconstructed directly from spatial radio impulse responses by extracting the information regarding round trip time (RTT). Using radar approach estimation of walls and corners positions is derived. Tests using measured data were performed, and the simulation results confirm the feasibility of the approach.
| ID de Registro: | 20147 |
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| Identificador DC: | https://oa.upm.es/20147/ |
| Identificador OAI: | oai:oa.upm.es:20147 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Sep 2013 16:41 |
| Ultima Modificación: | 21 Abr 2016 22:35 |
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