DocumentCode :
526679
Title :
Space-Differential Cooperative acquisition for Galileo E1 OS signals
Author :
Wan, Qing ; Meng, Weixiao
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Volume :
7
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
497
Lastpage :
501
Abstract :
In modern GNSS, new signal modulations are adopted to satisfy the demand for higher performance service. Based on the composite structure of Galileo E1 signals, which introduces data and pilot channels, some joint strategies are investigated for the acquisition block. Two typical algorithms are Noncoherent Combining (NCC) and Coherent Combining (CC). However, for the longer spreading sequence, the computational load of these two methods increases remarkably. Although the performance of CC is superior to NCC, it becomes unreliable in the weak level Thus, this paper proposes a novel algorithm, namely Space-Differential Cooperative (SDfC) acqusition, which substitutes differential process between data and pilot channel for that of consecutive intervals of one signal. The theoretical scheme and probability characteristics are first discussed in detail. Then, the simulation results by Monte Carlo indicate the feasibility of SDfC algorithm and that it can not only obtain better performance than CC, but also with lower complexity.
Keywords :
satellite navigation; telecommunication channels; GNSS; Galileo E1 OS Signals; Global Navigation Satellite system; Monte Carlo; acquisition block; noncoherent combining; signal modulations; space-differential cooperative acquisition; space-differential cooperative acqusition; Computational modeling; Navigation; Galileo E1 OS; Space-Differential; cooperative acquisition; date/pilot channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564879
Filename :
5564879
Link To Document :
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