A modulation recognition method based on carrier frequency estimation and decision theory

This paper concerns modulation recognition for blind modulated signals. We use the decision theory, which is popularly used in most researches, to discriminate eleven analog and digital modulated signals with nine key parameters. The carrier frequency is important to calculate some other key paramet...

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Bibliographic Details
Published in2010 16th Asia-Pacific Conference on Communications (APCC) pp. 6 - 11
Main Authors Xudong Liu, Jinzhao Su, Wei Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
Estimation
Frequency estimation
Frequency shift keying
Signal to noise ratio
Simulation
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Summary:This paper concerns modulation recognition for blind modulated signals. We use the decision theory, which is popularly used in most researches, to discriminate eleven analog and digital modulated signals with nine key parameters. The carrier frequency is important to calculate some other key parameters. However, for the blind signals, the carrier frequency is unknown, so we propose a method for estimating carrier frequency based on a short frame of intermediate frequency signals. Simulations for different types of analog and digital signals corrupted by band-limited Gaussian White Noise have been carried out. The results show that all types of modulated signals can be determined with success rate greater than 95% when SNR is higher than 10dB.
ISBN:9781424481286
1424481287
ISSN:2163-0771
DOI:10.1109/APCC.2010.5680015