Proceedings of the 2016 International Conference on Education, Management, Computer and Society

Primary User Signal Type Recognition Algorithm of Cognitive Radio Networks based on Active Learning in Building Indoors

Authors
Xin Wang, Zhijun Gao, Fenglong Kan, Peng Guo, Yuanwei Qi, Jiuyi Lü, Hongwei Li, Bin Wang
Corresponding Author
Xin Wang
Available Online January 2016.
DOI
https://doi.org/10.2991/emcs-16.2016.274How to use a DOI?
Keywords
Active Learning; Primary User Signal Recognition; Support Vector Machine; Building Indoors; Spectral correlation analysis
Abstract

Primary user signal modulation type recognition performance of building indoor environment has been the focus of attention and research in low signal-to-noise ratio. In this paper, a method based on active learning and support vector machine (SVM) for the primary user signal modulation type recognition is proposed in low signal to noise ratio. Three spectral coherence characteristic parameters are chosen via spectral correlation analysis, and the training samples and testing samples are formed for classification. Then, active learning algorithm is applied to obtain samples improved classification through a number of iterations, and SVM is formed. Finally, the formed SVM is utilized to recognize the primary user signal modulation type. Compared to the existing methods including the classifiers based on MME and ANN, the proposed approach is more effective in the case of low SNR and limited training numbers. The results show that the validity and superiority of the proposed algorithm on primary user signal modulation type recognition in building indoor environment.

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 International Conference on Education, Management, Computer and Society
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-158-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/emcs-16.2016.274How 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  - Xin Wang
AU  - Zhijun Gao
AU  - Fenglong Kan
AU  - Peng Guo
AU  - Yuanwei Qi
AU  - Jiuyi Lü
AU  - Hongwei Li
AU  - Bin Wang
PY  - 2016/01
DA  - 2016/01
TI  - Primary User Signal Type Recognition Algorithm of Cognitive Radio Networks based on Active Learning in Building Indoors
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1115
EP  - 1118
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.274
DO  - https://doi.org/10.2991/emcs-16.2016.274
ID  - Wang2016/01
ER  -