This new resource presents a comprehensive view of radio-frequency (RF) positioning. The book is organized to allow readers to progress at a fast pace, from the fundamentals of RF positioning, to the use of advanced tools such as artificial intelligence algorithms and application development environments. The first part of the book covers the fundamentals of RF localization. The second part addresses the application of those fundamentals in several types of wireless networks and technologies as Cellular Networks, Wi-Fi, Bluetooth, Sensor Networks, Ultra Wide Band, and Global Navigation Satellite Systems. The third part brings several tools to allow rapid development of positioning applications for mobile devices, as well as to support implementation, usage, deployment, and research of localization algorithms.; This book presents numerous MATLAB examples, accompanied by the corresponding MATLAB code, made available at the book website. The MATLAB code to most figures is also provided, as well as databases of measurements collected during experiments conducted both in cellular and Wi-Fi networks. The book also is accompanied by Android source codes of the example apps developed in Chapter 10.
Chapter 1 -Introduction to RF Positioning Systems; Chapter 2 - Fundamentals of Triangulation-Based Positioning ; Chapter 3 - Fundamentals of TOA, RSS and AOA Estimation; Chapter 4 - Fundamentals of RF Fingerprinting; Chapter 5 - Positioning in Cellular Networks; Chapter 6 - Positioning in WLANs and WSNs; Chapter 7 - Global Navigation Satellite Systems; Chapter 8 - Positioning in Bluetooth and UWB Networks; Chapter 9 - AI Systems for RF Positioning; Chapter 10 - Developing RF Positioning Applications for Mobile Devices
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Rafael Saraiva Campos
Rafael Saraiva Campos obtained his B.Sc. in Telecommunications Engineering in 2000, his M.Sc. in Electronic Engineering (Artificial Intelligence Systems) in 2008 and is currently pursuing his Ph.D. in Electronic Engineering (Signal Processing). 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.
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Lisandro Lovisolo
Lisandro Lovisolo is an associate professor in the Department of Electronics and Communications Engineering (DETEL) at the State University of Rio de Janeiro (UERJ). At UERJ since 2003, he has been lecturing both at undergraduate and graduate levels. There he founded PROSAICO (Signal Processing, Intelligent Applications and Communications Laboratory) in 2007. He earned his D. Sc. in Electrical Engineering from Federal University of Rio de Janeiro (UFRJ) in 2006. He was born in Neuquen, Argentina, in 1974. However, he enjoys thinking himself as Brazilian and born in Rio de Janeiro.