POSITIONING IN BLUETOOTH AND UWB NETWORKS

Autores

  • Rafael Saraiva Campos CEFET/RJ, COPPE/UFRJ

DOI:

https://doi.org/10.12957/cadinf.2016.19308

Resumo

This article brings a comprehensive tutorial on radio-frequency (RF) positioning in Bluetooth and Ultra-Wideband (UWB) Wireless Personal Area Networks (WPANs), carrying out an extensive literature review, providing the reader an overview of Bluetooth and UWB RF positioning state-of-the-art. It also delves into some key issues, such as multi-lateration based solutions using received signal strength and time-of-arrival, multi-slope linear regression, RF fingerprinting and the use of clustering techniques to improve its localization accuracy, the interrelation between Bluetooth versions improvements and new positioning capabilities, as well as localization prospects in future UWB networks.

Biografia do Autor

Rafael Saraiva Campos, CEFET/RJ, COPPE/UFRJ

Rafael Saraiva Campos obtained his B.Sc. in Telecommunications Engineering in 2000 (UFF), his M.Sc. in Electronic Engineering (Artificial Intelligence Systems) in 2010 (UERJ) and is currently pursuing his Ph.D. in Electronic Engineering (UFRJ). Since 2014, he teaches Calculus and Linear Algebra at the undergraduate Computer Engineering course at CEFET/RJ. He worked during eight years as an RF planning engineer in a multi-national cellular telephony operator, helping to operate and maintain one of the first LBS systems in Brazil, back in 2003. He holds a patent on RF fingerprinting emergency call localization in 2G cellular networks and has published several papers on RF positioning and Artificial Intelligence at IEEE Conference Proceedings and journals. He wrote Chapter 15 of the Handbook of Position Location - Theory Practice and Advances (Wiley/IEEE Press, 2011) and the book "RF Positioning: Fundamentals, Applications and Tools", published by Artech House (2015).

Downloads

Publicado

2017-03-24

Como Citar

Campos, R. S. (2017). POSITIONING IN BLUETOOTH AND UWB NETWORKS. Cadernos Do IME - Série Informática, 38, 35–54. https://doi.org/10.12957/cadinf.2016.19308