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Navigation Signal Analysis and Simulation group (NavSAS)

Collaborative positioning in 5G vehicular networks

keywords 5G NETWORKS, SATELLITE NAVIGATION

Reference persons CARLA FABIANA CHIASSERINI, FABIO DOVIS

External reference persons Alex

Research Groups Navigation Signal Analysis and Simulation group (NavSAS), Telecommunication Networks Group

Description Harsh environment is the main impediment to the availability of a satellite-based positioning service due to the obstruction of line-of-sight between the satellites and the receiver. A well-known countermeasure to this issue is the exploitation of additional measurements integrated with the GNSS solution, addressed to assure the continuity of service or to improve the positioning performance. Modern communication networks (i.e. 5G/LTE or VANET) provide limited delays allowing a quasi-real-time data transfers suitable for positioning applications. This thesis work address the study of such a kind of low-latency communication network, to cooperatively extract the pseudo-distance between pairs of agents equipped with Global Navigation Satellite Systems receivers, thus adapting the positioning algorithm to exploit the additional navigation data. The simultaneous observation of shared satellites allows to estimate the Non-Line-Of-Sight Inter-Agent Range and pseudo-Inter-Agent Range. This is pursued with the aim to guarantee a continuous position availability to the subset of receivers that are experiencing a GNSS positioning failure due to the limited visibility of the constellation, as it may happen in urban scenarios. In this context, the effectiveness of the hybrid cooperative positioning, smoothed with a properly designed Kalman Filter, iwill be studied, as well as the possibilities offered for the network architecture by the 5G standards currently under discussion

Required skills satellite navigation basics, wireless networks


Deadline 10/07/2018      PROPONI LA TUA CANDIDATURA




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