Distributed Direct Localization Suitable for Dense Networks
Artikel i vetenskaplig tidskrift, 2019

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.

distributed particle filter

Data mining

Signal to noise ratio

Fisher information (FI)

Uncertainty

direct position estimation (DPE)

network localization

Gold

Distance measurement

Estimation

Complexity theory

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, Kommunikations- och antennsystem, Kommunikationssystem

Peter Adam Hoeher

Christian-Albrechts-Universität zu Kiel

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Vol. 56 2 1209-1227 8762217

Ämneskategorier

Reglerteknik

Signalbehandling

Annan elektroteknik och elektronik

DOI

10.1109/TAES.2019.2928606

Mer information

Senast uppdaterat

2020-05-06