Noise Reduction of Communication Signal by utilizing the Adaptive Fuzzy-Fractal Filtering Method

DOI

10.2991/icmii-15.2015.23How to use a DOI?

Keywords

communication signal; fractal dimension; adaptive fuzzy-fractal filter; fuzzy control parameter.

Abstract

In this paper an adaptive fuzzy-fractal filtering method (AFFF) has been applied to noise reduction of communication signal. Short-time fractal dimension contains the information related to the complexity or characteristic of the time series and it can be used to adjust the value of fuzzy control parameter for improving the filtering effect. Four types of communication signals, including 2ASK signal, 2FSK signal, 2PSK signal and 16QAM signal, are employed to verify the feasibility of the AFFF. Simulation results reveal that the AFFF is superior to the traditional Kalman filter in noise reduction of communication signal. Meanwhile, the AFFF requires low computation cost and is very suitable for noise reduction of communication signal.

Copyright

© 2015, 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  - Shuang-Shuang Cheng
AU  - Bing Li
AU  - Jun Dong
AU  - Hui Han
PY  - 2015/10
DA  - 2015/10
TI  - Noise Reduction of Communication Signal by utilizing the Adaptive Fuzzy-Fractal Filtering Method
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 124
EP  - 129
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.23
DO  - 10.2991/icmii-15.2015.23
ID  - Cheng2015/10
ER  -