SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm

DOI

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.

Copyright

© 2014, 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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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  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 123
EP  - 126
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.33
DO  - 10.2991/ccit-14.2014.33
ID  - Shang2014/01
ER  -