DocumentCode :
3147624
Title :
Identification of Linear bi-dimensional digital modulation schemes via clustering algorithms
Author :
Helmy, Mahy O. ; Zaki, Fayez W.
Author_Institution :
Electron. & Commun. Dept., Mansura Univ., Mansoura, Egypt
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
385
Lastpage :
390
Abstract :
This paper presents a software radio based receiver architecture for identification of Linear, bi-dimensional modulation techniques via clustering algorithms. Identification of digital modulation schemes is of great importance in 3G and 4G cellular mobile systems, and it can be well presented as a pattern recognition problem with the use of vector space representation of digitally modulated signals. The proposed system starts with a preprocessing stage that includes: Digital Down Conversion (DDC), symbol rate estimation, base-band filtering, synchronization and normalization. Then the identifier stage follows which uses clustering algorithms along with cluster validity measures if needed to identify the digital modulation scheme used. Three clustering algorithms were compared, K-means clustering algorithm with Dunn index as a validity measure, Fuzzy C-means clustering algorithm with a minimum hard tendency validity measure, and Density Based Clustering. Simulation results for the three approaches are presented under the presence of AWGN.
Keywords :
3G mobile communication; 4G mobile communication; AWGN; estimation theory; filtering theory; fuzzy set theory; pattern clustering; software radio; synchronisation; 3G cellular mobile systems; 4G cellular mobile systems; AWGN; Dunn index; base-band filtering; cluster validity measures; clustering algorithms; density based clustering; digital down conversion; digitally modulated signals; fuzzy c-means clustering algorithm; hard tendency validity measure; k-means clustering algorithm; linear bi-dimensional digital modulation schemes; normalization; pattern recognition problem; receiver architecture; software radio; symbol rate estimation; synchronization; vector space representation; Clustering algorithms; Computer architecture; Density measurement; Digital modulation; Pattern recognition; Receivers; Signal processing; Software algorithms; Software radio; Vectors; Clustering Algorithms; Clustering Validity Measures; Digital Modulation Schemes; Software Defined Radio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems, 2009. ICCES 2009. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5842-4
Electronic_ISBN :
978-1-4244-5843-1
Type :
conf
DOI :
10.1109/ICCES.2009.5383234
Filename :
5383234
Link To Document :
بازگشت