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

fYear

2014

fDate

11-13 Sept. 2014

Firstpage

430

Lastpage

434

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (CIT), 2014 IEEE International Conference on

Conference_Location

Xi´an

Type

conf

DOI

10.1109/CIT.2014.41

Filename

6984692