利用小波脊线实现数字调制信号的自动识别

Automatic identification of digitally modulated signals based on wavelet-ridge

针对含基带脉冲成形滤波的数字调制信号的自动识别,研究了小波脊理论在其中的应用。理论分析表明,不同调制类型的数字信号经过连续小波变换后,会在时频平面上呈现出不同的脊线特征,利用这些特征能够有效识别信号调制类型。在小波脊原理的基础上,还进一步推导出选择Morlet小波参数的标准以及信号的规格要求。实际信号的测试证明了该方法的有效性和可行性。

A novel approach based on wavelet-ridge characteristics for identification of digitally modulated signals with pulse shaping is proposed. Theoretical analysis has shown that after wavelet transformation differently modulated signals possess different wavelet-ridge characteristics, which could be used for modulation identification. Based on above results a criterion for selection of the relevant optimum parameter of Morlet Wavelet is derived within the theoretical frame of wavelet-ridge. Test results targeting at practical signals prove the feasibility and effectiveness.