To improve the performance of GNSS receivers in hostile environments, we consider a Cooperative Positioning approach, where receivers exchange data and information with their neighbors. We focus on unstructured P2P networks, without a control or fusion center. We show that a significant reduction of the acquisition time can indeed by achieved when GNSS aiding quantities like Doppler, satellite Carrierto-Noise ratio and secondary code delay are provided by some aiding peers. The approach is clearly similar to that of Assisted GNSS, but does not require a fixed infrastructure and may better take into account the local environment. Since, in the near future, multi-standard devices will be more and more inter-connected, GNSS Cooperative Positioning may soon become an alternative or a complement to fixed augmentation systems
Peer-to-Peer Cooperative Positioning Part I: GNSS Aided Acquisition / Garello, Roberto; LO PRESTI, Letizia; Corazza, G. E.; Samson, J.. - In: INSIDE GNSS. - ISSN 1559-503X. - STAMPA. - March/April(2012), pp. 55-63.
Peer-to-Peer Cooperative Positioning Part I: GNSS Aided Acquisition
GARELLO, Roberto;LO PRESTI, Letizia;
2012
Abstract
To improve the performance of GNSS receivers in hostile environments, we consider a Cooperative Positioning approach, where receivers exchange data and information with their neighbors. We focus on unstructured P2P networks, without a control or fusion center. We show that a significant reduction of the acquisition time can indeed by achieved when GNSS aiding quantities like Doppler, satellite Carrierto-Noise ratio and secondary code delay are provided by some aiding peers. The approach is clearly similar to that of Assisted GNSS, but does not require a fixed infrastructure and may better take into account the local environment. Since, in the near future, multi-standard devices will be more and more inter-connected, GNSS Cooperative Positioning may soon become an alternative or a complement to fixed augmentation systemsFile | Dimensione | Formato | |
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marapr12-LLP_RG_GE_C_insidegnss.pdf
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https://hdl.handle.net/11583/2499222
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