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Hybrid Cooperative Positioning based on Distributed Belief Propagation

Mauricio Caceres ; Federico Penna ; Henk Wymeersch (Institutionen för signaler och system, Kommunikationssystem) ; Roberto Garello
IEEE Journal on Selected Areas in Communications (0733-8716). Vol. 29 (2011), 10, p. 1948-1958.
[Artikel, refereegranskad vetenskaplig]

We propose a novel cooperative positioning algorithm that fuses information from satellites and terrestrial wireless systems, suitable for GPS-challenged scenarios. The algorithm is fully distributed over an unstructured network, does not require a fusion center, does not rely on fixed terrestrial infrastructure, and is thus suitable for ad-hoc deployment. The proposed message passing algorithm, named hybrid sum-product algorithm over a wireless network (H-SPAWN), is described and analyzed. A novel parametric message representation is introduced, to reduce computational and communication overhead. Through simulation, we show that H-SPAWN improves positioning availability and accuracy, and outperforms hybrid positioning algorithms based on conventional estimation techniques.

Nyckelord: GNSS, belief propagation, cooperative positioning, distributed signal processing, localization

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Denna post skapades 2012-01-09. Senast ändrad 2016-12-06.
CPL Pubid: 151952


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Institutionen för signaler och system, Kommunikationssystem (1900-2017)


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