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/).
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 -