基于小波变换的MFSK/MQAM信号类内识别法

提出了一种基于小波变换的FSK/MQAM信号类内调制方式识别的改进算法,该方法通过深入分析MFSK和MQAM信号在小波域的不同特征,充分利用小波变换模值的奇异性信息,通过对该信息的有效检测,实现MFSK信号类内识别,并将其推广应用到16QAM和64QAM的分类。对该方法的适应性进行了理论分析和计算机仿真,结果表明,新算法大大提高了MFSK/MQAM信号的识别正确率,并有效降低了识别的信噪比门限。

A Within-class Identification Method of MFSK and MQAM Signals Based on Wavelet Transform

An improved algorithm of within-class modulation mode identification of FSK/MQAM signals based on the wavelet transform is presented. By analyzing the characteristics of MFSK and MQAM signals in wavelet region, utilizing the singular information of the wavelet transform modulus, and measuring the validity of the information, this algorithm implements the within-class identification of MFSK signals and is applied to the classification of J6QAM and 64QAM signals. The results of theory analysis and simulation show that the algorithm can promote correctness of identification in MFSK/MQAM signals and decrease the SNR threshold of identification effectively.