DocumentCode
3277610
Title
Research on modulation classification algorithm with interfere signals
Author
Feng, Xiang ; Yuan, Hongbo
Author_Institution
First Aeronaut. Inst., PLA Air Force, Xinyang, China
fYear
2011
fDate
15-17 April 2011
Firstpage
4407
Lastpage
4410
Abstract
An independent component analysis (ICA) and higher order cumulants based modulation classification algorithm, which is applicable for the presence of interference signals, is proposed. As the modulation type of interesting signal is different from that of interference signals, the proposed classification algorithm has better performance in large SNR range. The efficiency of the proposed classification algorithm is verified via extensive simulations.
Keywords
independent component analysis; signal classification; ICA; SNR range; higher order cumulants; independent component analysis; interfere signals; modulation classification algorithm; Classification algorithms; Cognitive radio; Independent component analysis; Interference; Programmable logic arrays; Quadrature amplitude modulation; higher order cumulants; independent component analysis; interference signals; modulation classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5777480
Filename
5777480
Link To Document