Open AccessA Blind Recognition Algorithm for Digital Amplitude Modulated Signals
Author(s) -
Zhengdong Li,
Chen Yang,
Bin Wu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022108
Subject(s) - amplitude , signal (programming language) , amplitude modulation , qam , analog transmission , quadrature amplitude modulation , algorithm , modulation (music) , computer science , amplitude shift keying , pulse amplitude modulation , blind equalization , cluster analysis , additive white gaussian noise , speech recognition , amplitude and phase shift keying , pattern recognition (psychology) , artificial intelligence , mathematics , digital signal , frequency modulation , digital signal processing , telecommunications , phase shift keying , white noise , acoustics , physics , bandwidth (computing) , optics , equalization (audio) , bit error rate , pulse (music) , decoding methods , detector , programming language , computer hardware
A blind recognition Algorithm of amplitude modulation-ASK and QAM signals is proposed in this paper. Without requiring any prior information of the accepted signal, this algorithm employs the instantaneous amplitude of the incoming signal to recognize the modulation order, i.e., M, using the clustering centers of the amplitude. It is found that this new algorithm is practical and steady in recognition amplitude modulation signal in the presence of AWGN.