Global Navigation Satellite Systems (GNSS) with the ability to provide accurate positioning and timing information have become very important for many essential applications of both military and civil purposes. Toward the objective of a high sensitivity GNSS receiver architecture capable of operating anywhere at anytime, this paper introduce a new acquisition strategy to adapt with the problem of low received signal power in indoor environments. The strategy combines the proved advantages coming from joint data/pilot acquisition strategies and differential integration technique to further improve the robustness of the acquisition process. Analytical expressions as well as Monte Carlo simulations in indoor scenarios are presented to describe and prove the strategy improvement with respect to other strategies in literatures.

A differential joint data/pilot strategy for high sensitivity Galileo E1 signal acquisition / Ta, HAI TUNG; Dovis, Fabio; LO PRESTI, Letizia. - STAMPA. - (2008), pp. 69-72. (Intervento presentato al convegno International Conference on Advanced Technologies for Communications, 2008. ATC 2008 tenutosi a Hanoi (Vietnam) nel 6-9 October, 2008) [10.1109/ATC.2008.4760520].

A differential joint data/pilot strategy for high sensitivity Galileo E1 signal acquisition

TA, HAI TUNG;DOVIS, Fabio;LO PRESTI, Letizia
2008

Abstract

Global Navigation Satellite Systems (GNSS) with the ability to provide accurate positioning and timing information have become very important for many essential applications of both military and civil purposes. Toward the objective of a high sensitivity GNSS receiver architecture capable of operating anywhere at anytime, this paper introduce a new acquisition strategy to adapt with the problem of low received signal power in indoor environments. The strategy combines the proved advantages coming from joint data/pilot acquisition strategies and differential integration technique to further improve the robustness of the acquisition process. Analytical expressions as well as Monte Carlo simulations in indoor scenarios are presented to describe and prove the strategy improvement with respect to other strategies in literatures.
2008
9781424426812
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2422731
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