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Symbol Based Modulation Classification using Combination of Fuzzy Clustering and Hierarchical Clustering

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Author(s): Negar Ahmadi & Reza Berangi

Journal: Signal Processing : An International Journal
ISSN 1985-2339

Volume: 4;
Issue: 2;
Start page: 123;
Date: 2010;
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Keywords: Fuzzy C-means | AMR | Modulation Classification | Hierarchical Clustering.

ABSTRACT
Most of approaches for recognition and classification of modulation have beenfounded on modulated signal’s components. In this paper, we develop analgorithm using fuzzy clustering and consequently hierarchical clusteringalgorithms considering the constellation of the received signal to identify themodulation types of the communication signals automatically. The simulation thathas been conducted shows high capability of this method for recognition ofmodulation levels in the presence of noise and also, this method is applicable todigital modulations of arbitrary size and dimensionality. In addition thisclassification finds the decision boundary of the signal which is critical informationfor bit detection.

Tango Jona
Tangokurs Rapperswil-Jona

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