Title :
Automatic Classification of Modulations in the Flat Fading HF Channel Based on Watterson Model
Author :
Ming, Liu ; Jianqiang, Li ; Hua, Jiang
Author_Institution :
Dept. of Electron. Eng., Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
The problem of automatic modulation classification in the flat fading HF channel based on Watterson Model is considered in this paper. A novel classification algorithm, based on Feature-vector composed of 9 features of 4 categories, such as, the spectral lines of quadratic and quartic nonlinearities, is proposed. The probabilities of correct classification are provided which can achieve more than 90% at SNRs as low as 7 dB.
Keywords :
fading channels; feature extraction; Watterson model; automatic modulation classification; feature vector classification; flat fading HF channel; Classification algorithms; Computer science education; Delay effects; Educational technology; Fading; Feature extraction; Frequency; Hafnium; Information science; Signal detection; Automatic modulation classification (AMC); Feature vector decision; HF channel; Watterson model; feature extraction; flat fading;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.39
