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 :
بازگشت