Title :
Automatic Modulation Recognition of Digital Signals Using CWT Based on Optimal Scales
Author :
Yuanyuan Lv ; Yuanan Liu ; Fang Liu ; Jinchun Gao ; Kaiming Liu ; Gang Xie
Author_Institution :
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
This paper presents an improved algorithm for modulation recognition of received digital signals using continuous wavelet transform (CWT). The Morlet wavelet and optimal scales are used when extract the features. It is able to classify ASK, FSK, PSK and QAM signals, as well as to identify the modulation order. The algorithm needs no prior information for the received signal. The simulation indicated that the success rate of 90% can be achieved when the SNR is not less than 2 dB.
Keywords :
amplitude shift keying; feature extraction; frequency shift keying; phase shift keying; quadrature amplitude modulation; signal processing; wavelet transforms; ASK; CWT; Morlet wavelet; PSK; QAM signal; SNR; amplitude shift keying; continuous wavelet transform; digital signal automatic modulation recognition; feature extraction; frequency shift keying; modulation order identification; phase shift keying; quadrature amplitude modulation; Binary phase shift keying; Continuous wavelet transforms; Quadrature amplitude modulation; Morlet wavelet; continuous wavelet transform (CWT); scale;
Conference_Titel :
Computer and Information Technology (CIT), 2014 IEEE International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/CIT.2014.41
