Blind QAM Modulation Identification Algorithm in Adaptive Real-time Multi-domain Analysis for Broadband Communication Signal

摘要

Based on a real-time multi-domain signal analysis architecture,a combined automatic M-QAM modulation identification algorithm which dedicates to adaptive real-time multi-domain analysis for broadband communication signal is presented.Combined with the wavelet transform and the statistical information analysis,the proposed algorithm utilizes the fourth power spectrum and characteristics of normalized amplitude distribution to identify M-QAM signals.Compared with the existing algorithms,the proposed algorithm does not require any prior information of the received signal and is insensitive to the band limited effect caused by pulse shaping.Experimental results show that M-QAM signals can be reliably identified.It can achieve more than 99％ correct classification for non-band-limited M-QAM signals and 87％ average correct classification for band-limited M-QAM signals when SNR is greater than 16dB.