Hybrid GNSS-terrestrial cooperative positioning based on particle filter
Paper i proceeding, 2011
We propose a novel hybrid GNSS-terrestrial localization algorithm based on particle filter that fuses ranging data from both satellites and terrestrial receivers. The proposed positioning approach, named hybrid-cooperative particle filter (HCPF), is fully distributed and allows both increased positioning availability and accuracy compared to GNSS-only localization in challenged scenarios. Moreover, simulation results based on a realistic indoor scenario show that the proposed solution outperforms several state of the art algorithms such as unscented Kalman filter and an approach based on belief propagation.
Communication
Belief propagation
Nonlinear filtering
Tracking (position)
Global positioning system
Localization algorithm
State-of-the-art algorithms
Algorithms
Unscented Kalman Filter
Particle filter
Författare
F. Sottile
Istituto Superiore Mario Boella
Henk Wymeersch
Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk
M.A. Caceres
Istituto Superiore Mario Boella
M. A. Spirito
Istituto Superiore Mario Boella
GLOBECOM - IEEE Global Telecommunications Conference
1-5 6134002
9781424492688 (ISBN)
Ämneskategorier
Telekommunikation
DOI
10.1109/GLOCOM.2011.6134002
ISBN
9781424492688