Positioning methods
Kapitel i bok, 2024
This chapter introduces the main positioning methods, starting from the state-of-the-art and following a statistical estimation perspective. This is followed by an in-depth treatment of radio positioning, first focusing on device-based positioning and then on device-free positioning. Finally, recent approaches based on artificial intelligence methods for positioning are detailed.
AI
Device-free positioning
Localization algorithms
Positioning
Statistical estimation
Radio positioning
Författare
Stefania Bartoletti
Universita degli Studi di Roma Tor Vergata
Carlos S. Álvarez-Merino
Universidad De Malaga
Raquel Barco
Universidad De Malaga
Hui Chen
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Andrea Conti
University of Ferrara
Yannis Filippas
Incelligent P.C.
Domenico Giustiniano
Fundacion IMDEA Networks
Carlos A. Gómez Vega
University of Ferrara
Mythri Hunukumbure
Samsung
Fan Jiang
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Emil J. Khatib
Universidad De Malaga
Oluwatayo Y. Kolawole
Samsung
Flavio Morselli
University of Ferrara
Sara Modarres Razavi
Ericsson AB
Athina Ropodi
Incelligent P.C.
Joerg Widmer
Fundacion IMDEA Networks
Moe Z. Win
Massachusetts Institute of Technology (MIT)
Henk Wymeersch
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Positioning and Location-based Analytics in 5G and Beyond
21-50
9781119911463 (ISBN)
Ämneskategorier (SSIF 2011)
Signalbehandling
DOI
10.1002/9781119911463.ch2