Title :
A basic sequential algorithmic scheme approach for classification of modulation based on neural network
Author :
Ahmadi, Negar ; Berangi, Reza
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper modulated signal symbols constellation utilizing TTSAS clustering algorithm, which is a specific kind of BSAS clustering, and matching with standard templates, is used for classification of QAM modulation. TTSAS algorithm used in this paper is implemented by Hamming neural network. The simulation results show the capability of this method for modulation classification with high accuracy and appropriate convergence in the presence of noise.
Keywords :
neural nets; quadrature amplitude modulation; signal classification; BSAS clustering; Hamming neural network; QAM modulation; TTSAS clustering algorithm; modulated signal symbols constellation; modulation classification; sequential algorithmic scheme; Clustering algorithms; Communication standards; Computer networks; Constellation diagram; Convergence; Neural networks; Pattern recognition; Quadrature amplitude modulation; Statistical analysis; Testing;
Conference_Titel :
Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1691-2
Electronic_ISBN :
978-1-4244-1692-9
DOI :
10.1109/ICCCE.2008.4580667
