基于小波变换的调制自动识别新方法研究

A Novel Approach for Automatic Modulation Recognition Based on Wavelet Transform

在小波分析的理论基础上,提出使用高斯(Gaussian)小波进行连续小波变换,进而提取信号的小波变换后的幅度,获取其瞬时特征,达到识别MPSK(M-ary Phase Shift Keying)与MFSK(Multi-Fre-quency Shift Keying)信号的目的,从而在不需要先验知识的情况下识别接收信号的调制方式的目的。验证该方法较现有文献利用Haar小波变换识别信号方法具有更好的性能,而且克服了现有文献采用Haar小波变换识别调制信号的漏检问题,提高了运算速度和性能,并有效增加了小波变换识别调制信号方法的适用性。通过理论分析和计算机仿真证实了新方法的有效性和优越性。

A novel approach based on the theory of wavelet analysis is proposed for automatic modulation classification of MPSK and MFSK by Gaussian wavelet transform. The approach recognizes the modulation signal through extracting the value of amplitude and the transient information by Gaussian wavelet transform. It does not need the prior knowledge, overcomes the problem of undetected information of haar wavelet transform method and increase the applicability of the method of automatic modulation recognition based on wavelet transform. Moreover, we compare the new method and the Haar wavelet transform method from the point of view of theoretical analysis and computer simulation, furthermore, we justify the efficiency superiority of the new method.