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.

Signal to noise ratio

Complexity theory

Data mining

Fisher information (FI)

Gold

Uncertainty

distributed particle filter

Estimation

direct position estimation (DPE)

network localization

Distance measurement

Författare

Siwei Zhang

Emanuel Staudinger

Thomas Jost

Wei Wang

Christian Gentner

Armin Dammann

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

Peter Adam Hoeher

IEEE Transactions on Aerospace and Electronic Systems

0018-9251 (ISSN)

Ämneskategorier

Reglerteknik

Signalbehandling

Annan elektroteknik och elektronik

DOI

10.1109/TAES.2019.2928606

Mer information

Senast uppdaterat

2019-09-16