Automatic modulation classification using modulation fingerprint extraction  

作　　者：NOROLAHI Jafar AZMI Paeiz AHMADI Farzaneh 

机构地区：[1]Electrical and Engineering Department,Tarbiat Modares University,Tehran 14115,Iran

出　　处：《Journal of Systems Engineering and Electronics》2021年第4期799-810,共12页系统工程与电子技术（英文版）

摘　　要：An automatic method for classifying frequency shift keying(FSK),minimum shift keying(MSK),phase shift keying(PSK),quadrature amplitude modulation(QAM),and orthogonal frequency division multiplexing(OFDM)is proposed by simultaneously using normality test,spectral analysis,and geometrical characteristics of in-phase-quadrature(I-Q)constellation diagram.Since the extracted features are unique for each modulation,they can be considered as a fingerprint of each modulation.We show that the proposed algorithm outperforms the previously published methods in terms of signal-to-noise ratio(SNR)and success rate.For example,the success rate of the proposed method for 64-QAM modulation at SNR=11 dB is 99%.Another advantage of the proposed method is its wide SNR range;such that the probability of classification for 16-QAM at SNR=3 dB is almost 1.The proposed method also provides a database for geometrical features of I-Q constellation diagram.By comparing and correlating the data of the provided database with the estimated I-Q diagram of the received signal,the processing gain of 4 dB is obtained.Whatever can be mentioned about the preference of the proposed algorithm are low complexity,low SNR,wide range of modulation set,and enhanced recognition at higher-order modulations.

关 键 词：automatic modulation classification in-phase-quadrature(I-Q)constellation diagram spectral analysis feature based modulation classification 

分 类 号：TN911.3[电子电信—通信与信息系统]