Target Tracking in Confined Environments with Uncertain Sensor Positions
Artikel i vetenskaplig tidskrift, 2015

To ensure safety in confined environments such as mines or subway tunnels, a (wireless) sensor network can be deployed to monitor various environmental conditions. One of its most important applications is to track personnel, mobile equipment, and vehicles. However, the state-of-the-art algorithms assume that the positions of the sensors are perfectly known, which is not necessarily true due to imprecise placement and/or dropping of sensors. Therefore, we propose an automatic approach for simultaneous refinement of sensors' positions and target tracking. We divide the considered area in a finite number of cells, define dynamic and measurement models, and apply a discrete variant of belief propagation that can efficiently solve this high-dimensional problem and handle all non-Gaussian uncertainties expected in this kind of environment. Finally, we use ray-tracing simulation to generate an artificial mine-like environment and generate synthetic measurement data. According to our extensive simulation study, the proposed approach performs significantly better than standard Bayesian target tracking and localization algorithms and provides robustness against outliers.

Författare

Vladimir Savic

Linköpings universitet

Henk Wymeersch

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

E. G. Larsson

Linköpings universitet

IEEE Transactions on Vehicular Technology

0018-9545 (ISSN)

Vol. 65 2 870-882 7042332

Robust och feltolerant kooperativ positionering

Vetenskapsrådet (VR), 2011-01-01 -- 2013-12-31.

Coopnet

Europeiska kommissionen (FP7), 2011-05-01 -- 2016-04-30.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

Signalbehandling

DOI

10.1109/TVT.2015.2404132

Mer information

Senast uppdaterat

2018-02-28