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

Abstract

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.