Cooperative simultaneous localization and tracking (CoSLAT) with reduced complexity and communication
Paper i proceeding, 2013

The recently introduced framework of cooperative simultaneous localization and tracking (CoSLAT) combines Bayesian cooperative agent self-localization with distributed target tracking. The original CoSLAT algorithm suffers from high computation and communication costs because it uses a particle-based message representation. Here, we propose an advanced hybrid particle-based and parametric message passing algorithm for CoSLAT in which both costs are significantly reduced. Simulation results show that the localization/tracking performance is not affected.

nonparametric belief propagation

likelihood consensus

CoSLAT

cooperative localization

Distributed target tracking

Författare

Florian Meyer

Technische Universitat Wien

Franz Hlawatsch

Technische Universitat Wien

Henk Wymeersch

Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013; Vancouver, BC; Canada; 26 May 2013 through 31 May 2013

1520-6149 (ISSN)

4484-4488

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Signalbehandling

DOI

10.1109/ICASSP.2013.6638508

ISBN

978-147990356-6