一种基于小波变换和统计特征的数字信号调制模式识别方法

摘要

A feature extraction method of combining with statistical characteristics and wavelet transform is put forward for modulation recognition of the digital signals. Under low SNR,It can extract the parameters and identify the modulation signals. The feature parameter extraction of this method has lower computational complexity and good noise immunity. When the SNR is not less than 5 dB,the correct recognition rate can reach more than 97%.%对于数字信号的调制识别问题，提出统计特性和小波变换相结合的特征提取方法。可以通过低信噪比下提取参数识别出调制信号。该方法的特征参数提取具有更低的计算复杂度，具有良好的抗噪性能。当信噪比不小于5 dB时，正确识别率可以达到97%以上。