Hybrid GNSS-terrestrial cooperative positioning based on particle filter
Paper in 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
Author
F. Sottile
Istituto Superiore Mario Boella
Henk Wymeersch
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
M.A. Caceres
Istituto Superiore Mario Boella
M. A. Spirito
Istituto Superiore Mario Boella
GLOBECOM - IEEE Global Telecommunications Conference
1-5 6134002
9781424492688 (ISBN)
Subject Categories
Telecommunications
DOI
10.1109/GLOCOM.2011.6134002
ISBN
9781424492688