Positioning methods
Book chapter, 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.
Positioning
Device-free positioning
Statistical estimation
Localization algorithms
AI
Radio positioning
Author
Stefania Bartoletti
University of Rome Tor Vergata
Carlos S. Álvarez-Merino
University of Malaga
Raquel Barco
University of Malaga
Hui Chen
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Andrea Conti
University of Ferrara
Yannis Filippas
Incelligent P.C.
Domenico Giustiniano
IMDEA Networks Institute
Carlos A. Gómez Vega
University of Ferrara
Mythri Hunukumbure
Samsung R&D Institute UK
Fan Jiang
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Emil J. Khatib
University of Malaga
Oluwatayo Y. Kolawole
Samsung R&D Institute UK
Flavio Morselli
University of Ferrara
Sara Modarres Razavi
Ericsson
Athina Ropodi
Incelligent P.C.
Joerg Widmer
IMDEA Networks Institute
Moe Z. Win
Massachusetts Institute of Technology (MIT)
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Positioning and Location-based Analytics in 5G and Beyond
21-50
9781119911463 (ISBN)
Subject Categories
Signal Processing
DOI
10.1002/9781119911463.ch2