Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

A Method for the Detection of DSSS-QPSK Signals Based on Wavelet Denoise

Authors
Dezhi Li, Deyang Kong, Qun Wu, Yanyong Su, Yaoqing Ni, Haibo Lv
Corresponding Author
Dezhi Li
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.174How to use a DOI?
Keywords
Direct sequence spread spectrum signal, Wavelet Noise Reduction, Estimation-based Time-domain Sliding Correlating Accumulation
Abstract

Nowadays, the Direct-Sequence Spread Spectrum (DSSS) technology has been widely used. It's urgent to research blind detection algorithms on DSSS signal. In this paper, a new method is proposed. It based on a combination of wavelet noise reduction and Estimation-based Time-domain Sliding Correlating Accumulation, which can be used to detect the DSSS-QPSK signal. The results show that when the length of spreading code is 15 bits and the Signal-to-Noise Ratio (SNR) is -12 dB, the method could easily detect whether the DS/SS-QPSK signal exists.

Copyright
© 2016, 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 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-189-6
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.174How to use a DOI?
Copyright
© 2016, 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  - Dezhi Li
AU  - Deyang Kong
AU  - Qun Wu
AU  - Yanyong Su
AU  - Yaoqing Ni
AU  - Haibo Lv
PY  - 2016/06
DA  - 2016/06
TI  - A Method for the Detection of DSSS-QPSK Signals Based on Wavelet Denoise
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 856
EP  - 859
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.174
DO  - 10.2991/icamcs-16.2016.174
ID  - Li2016/06
ER  -