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, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

M.A. Caceres

Istituto Superiore Mario Boella

M. A. Spirito

Istituto Superiore Mario Boella

GLOBECOM - IEEE Global Telecommunications Conference

1-5 6134002

Ämneskategorier

Telekommunikation

DOI

10.1109/GLOCOM.2011.6134002

ISBN

9781424492688

Mer information

Skapat

2017-10-08