Proceedings of the 2014 International Conference on Computer, Communications and Information Technology

SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm

Authors
Yaobo Shang, Ying Guo, Yuanhang Xu, Lifeng Han, Ruilian Tan
Corresponding Author
Yaobo Shang
Available Online January 2014.
DOI
https://doi.org/10.2991/ccit-14.2014.33How to use a DOI?
Keywords
adaptive threshold, signal detection, false alarm probability, acquisition
Abstract
This paper proposes an algorithm based on noise power and SNR (signal to noise ratio) for adaptive threshold proposed PN code acquisition problem. First, this algorithm adjusts the threshold based on SNR through setting parameters, then smoothes the threshold waveform by median filters. It reduces error acquisition caused by fluctuations. Finally, by limiting filters, it makes the threshold reduces the false alarm probability caused by glitches at a certain noise level. This paper proves that the system's detection probability and false alarm probability are obviously improved comparing improved algorithm and original one through the analysis of false alarm probability and detection probability using improved algorithm and Monte Carlo simulation.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
January 2014
ISBN
978-90786-77-97-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/ccit-14.2014.33How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yaobo Shang
AU  - Ying Guo
AU  - Yuanhang Xu
AU  - Lifeng Han
AU  - Ruilian Tan
PY  - 2014/01
DA  - 2014/01
TI  - SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm
BT  - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.33
DO  - https://doi.org/10.2991/ccit-14.2014.33
ID  - Shang2014/01
ER  -