Hybrid GNSS-terrestrial cooperative positioning via distributed belief propagation
Paper in proceedings, 2010

Cooperative positioning algorithms have been recently introduced to overcome the limitations of traditional methods, relying on GNSS or other terrestrial infrastructure. In particular, SPAWN (Sum-Product Algorithm over a Wireless Network) was shown to provide accurate position estimate even in challenged indoor environments, thanks to exchange of local information among peers based on terrestrial ranging. In this paper we extend the SPAWN framework by considering a hybrid scenario, where agents combine satellite and peer-to-peer terrestrial measurements. The novel hybrid SPAWN (H-SPAWN) approach allows increased availability and robustness compared to GNSS-only positioning in light and deep indoor scenarios, while keeping the advantages of a distributed implementation of the original SPAWN. A parametric message representation is proposed to reduce the communication overhead, and to improve the estimation accuracy. Simulation results show that the proposed solution outperforms traditional algorithms such as cooperative least squares and the extended Kalman filter.


M.A. Caceres

Polytechnic University of Turin

Federico Penna

Polytechnic University of Turin

Henk Wymeersch

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

R. Garello


GLOBECOM - IEEE Global Telecommunications Conference


Areas of Advance

Information and Communication Technology

Subject Categories

Computer and Information Science





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