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Symbol Based Modulation Classification using Combination of Fuzzy Clustering and Hierarchical Clustering
Negar ahmadi, Reza Berangi
Pages - 123 - 137     |    Revised - 30-04-2010     |    Published - 10-06-2010
Volume - 4   Issue - 2    |    Publication Date - May 2010  Table of Contents
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KEYWORDS
Fuzzy C-means, AMR, Modulation Classification, Hierarchical Clustering
ABSTRACT
Most of approaches for recognition and classification of modulation have been founded on modulated signal’s components. In this paper, we develop an algorithm using fuzzy clustering and consequently hierarchical clustering algorithms considering the constellation of the received signal to identify the modulation types of the communication signals automatically. The simulation that has been conducted shows high capability of this method for recognition of modulation levels in the presence of noise and also, this method is applicable to digital modulations of arbitrary size and dimensionality. In addition this classification finds the decision boundary of the signal which is critical information for bit detection.
CITED BY (4)  
1 Twayana, K. S., & Joshi, S. R. (2016). Fuzzy Clustering Based Blind Adaptive OFDM System. Journal of Advanced College of Engineering and Management, 1, 51-58.
2 Cheng, L., Xi, L., Zhao, D., Tang, X., Zhang, W., & Zhang, X. (2015). Improved modulation format identification based on Stokes parameters using combination of fuzzy c-means and hierarchical clustering in coherent optical communication system. Chinese Optics Letters, 13(10), 100604.
3 El-Khamy, S. E., & Elsayed, H. A. (2012). Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques. Int'l J. of Communications, Network and System Sciences, 5(09), 520.
4 Elsayed, H., El-Khamy, S. E., & Rizk, M. M. (2011, August). Higher order statistics classification of multi-user chirp modulation signals using clustering techniques. In General Assembly and Scientific Symposium, 2011 XXXth URSI (pp. 1-4). IEEE.
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Mr. Negar ahmadi
- Iran
negar.ahmadi670@gmail.com
Dr. Reza Berangi
- Iran