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.

关键词： quadrature amplitude modulation real-time multidomain analysis blind modulation recognition wavelet transform normalized amplitude distribution

作者: Yan Xiao Wang Qian

作者单位: Institute of Astronautics & Aeronautics University of Electronic Science and Technology of China Chengdu, PRC

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 82-87

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）