DocumentCode
2324241
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
fYear
2008
fDate
13-15 May 2008
Firstpage
565
Lastpage
569
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCCE.2008.4580667
Filename
4580667
Link To Document