Abstract (EN):
This paper describes indoors radio frequency (RF) localization using radio signal strength indication (RSSI) which is available in wireless communications networks. The main advantage of described methodology is taking as localization hardware the communications sub-system and developing dedicated software in order to obtain a location of mobile network nodes using trilateration algorithm. Accuracy is strongly dependent on quality of measured RSSI which is shown of needing of post-processing of raw RSSI values in order to obtain good results in terms of mobile nodes location estimation. In order to apply RSSI values from wireless communications hardware to localization subsystem, filtering is thus an approach to overcome limitations due to RSSI values fluctuations. Artificial neural networks (ANNs) are also introduced in this paper as a scheme to model system localization characteristics with a compact and efficient method of function emulation procedure.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Contacto:
azenha@fe.up.pt