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| Symbol Based Modulation Classification using Combination of Fuzzy Clustering and Hierarchical Clustering
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Full
text: |
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Download
Complete Issue PDF(1.87MB) |
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Volume: 4 Issue: 2 |
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Pages: 68-137 |
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Publication
Date: May 2010 |
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ISSN
(Online): 1985-2339 |
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Pages |
123 - 137 |
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Author(s) |
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Published
Date |
10-06-2010 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Fuzzy C-means, AMR, Modulation Classification, Hierarchical Clustering |
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| 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. |
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| Negar ahmadi : Colleagues
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| Reza Berangi : Colleagues
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