DocumentCode :
2526733
Title :
A novel sequential Bayesian approach to GPS acquisition
Author :
O´Mahony, Niamh ; Cruz, Fernando Pérez
Author_Institution :
Dept. of Signal & Commun. Theor., Univ. Carlos III de Madrid, Leganes, Spain
fYear :
2012
fDate :
28-30 May 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this work, a novel online learning algorithm is presented for the synchronization of Global Positioning System (GPS) signal parameters at the acquisition, or coarse synchronization, stage. The algorithm is based on a Bayesian approach, which has, to date, not been exploited for the acquisition problem. Simulated results are presented to illustrate the algorithm performance, in terms of accuracy and acquisition time, along with results from the acquisition of signals from live GPS satellites using both the new algorithm and a state-of-the-art approach for comparison.
Keywords :
Bayes methods; Global Positioning System; data acquisition; learning (artificial intelligence); signal detection; GPS acquisition; GPS signal parameters; Global Positioning System; coarse synchronization; online learning algorithm; sequential Bayesian approach; signal acquisition; Correlators; Delay; Doppler effect; Global Positioning System; Receivers; Satellites; Synchronization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Information Processing (CIP), 2012 3rd International Workshop on
Conference_Location :
Baiona
Print_ISBN :
978-1-4673-1877-8
Type :
conf
DOI :
10.1109/CIP.2012.6232921
Filename :
6232921
Link To Document :
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