Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)

A Novel Algorithm for the Weak GPS Signals Acquisition

Authors
Huan Li, Yubai Li, Wei Peng, Bolong Wen
Corresponding Author
Huan Li
Available Online August 2012.
DOI
10.2991/iccasm.2012.187How to use a DOI?
Keywords
weak GPS signals, acquisition, Blocked method
Abstract

The acquisition of weak GPS signals is a challenging problem. The current methods for acquisition of weak GPS signals mainly depend on aiding, in which the GPS receiver needs priori information from base-station to promote weak GPS signal acquisition and tracking. It is unavailable in some remote locations since the area may not be covered by the base-station. On the other hand, in the state-of-art unaided GPS receivers, the weak GPS signals acquisition requires long Pre-detection Integration Time (PIT), such that the computation is complex and time-consuming. This paper proposes a computational efficient method to speed up acquisition operations. Finally, we evaluate the efficiency of the method through simulations.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
Series
Advances in Intelligent Systems Research
Publication Date
August 2012
ISBN
10.2991/iccasm.2012.187
ISSN
1951-6851
DOI
10.2991/iccasm.2012.187How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Huan Li
AU  - Yubai Li
AU  - Wei Peng
AU  - Bolong Wen
PY  - 2012/08
DA  - 2012/08
TI  - A Novel Algorithm for the Weak GPS Signals Acquisition
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 738
EP  - 741
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.187
DO  - 10.2991/iccasm.2012.187
ID  - Li2012/08
ER  -