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Hybrid GNSS-terrestrial cooperative positioning based on particle filter

F. Sottile ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; M. A. Caceres ; M. A. Spirito
IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, TX, USA (1930-529X). p. 1-5. (2011)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Belief propagation, Localization algorithm, Particle filter, State-of-the-art algorithms, Unscented Kalman Filter, Algorithms, Communication, Nonlinear filtering, Tracking (position), Global positioning system

Denna post skapades 2012-04-20. Senast ändrad 2016-12-06.
CPL Pubid: 156918


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