Title :
Identification of cognitive radio modulation
Author :
Zhao Jianli ; Wang Tingting
Author_Institution :
Electr. & Electron. Eng. Sch., NCEPU, Baoding, China
Abstract :
For cognitive radio intelligent communication system, communication signals´ modulation recognition has important significance. The seven character parameter reflecting the differences of the modulations were extracted. The neural network algorithm combining with decision-theoretic algorithm classifier is established. Simulation result shows that this classifier has better performance for modulation recognition.
Keywords :
cognitive radio; decision theory; modulation; neural nets; telecommunication computing; cognitive radio intelligent communication system; cognitive radio modulation identification; communication signal modulation recognition; decision-theoretic algorithm classifier; neural network algorithm; Biological neural networks; Classification algorithms; Cognitive radio; Decision theory; Modulation; Signal to noise ratio; Training; cognitive radio; decision theory; modulation recognition; neural network;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025826
