Distributed Direct Localization Suitable for Dense Networks
Artikel i vetenskaplig tidskrift, 2020
Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node's location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant for dense networks, due to the massive-link collective physical layer processing. DiPNet achieves a near-optimal performance with low complexity, which is particularly attractive for realtime dense-network localization.
network localization
Uncertainty
Complexity theory
Fisher information (FI)
Data mining
Gold
Estimation
distributed particle filter
direct position estimation (DPE)
Signal to noise ratio
Distance measurement
Författare
Siwei Zhang
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Emanuel Staudinger
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Thomas Jost
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Wei Wang
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Christian Gentner
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Armin Dammann
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
Henk Wymeersch
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Peter Adam Hoeher
Christian-Albrechts-Universität zu Kiel
IEEE Transactions on Aerospace and Electronic Systems
0018-9251 (ISSN) 15579603 (eISSN)
Vol. 56 2 1209-1227 8762217Ämneskategorier
Reglerteknik
Signalbehandling
Annan elektroteknik och elektronik
DOI
10.1109/TAES.2019.2928606