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.

Positioning

Device-free positioning

Statistical estimation

Localization algorithms

AI

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 R&D Institute UK

Fan Jiang

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Emil J. Khatib

Universidad De Malaga

Oluwatayo Y. Kolawole

Samsung R&D Institute UK

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

Signalbehandling

DOI

10.1002/9781119911463.ch2

Mer information

Senast uppdaterat

2023-11-07