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本文提出一种数字调制识别的新方法,即在对信号预处理时采用二次随机共振,再提取待识别信号的小波参数特征进行分类识别,经多次仿真发现当信噪比低至-10d B时此方法的正确识别率仍达85%以上,说明此方法在低信噪比下仍有良好效果。
This paper presents a new method of digital modulation recognition, that is, the signal pre-processing using second-order random resonance, and then extract the characteristics of the signal to be identified wavelet parameter classification recognition, after many simulations found that when the signal to noise ratio as low as -10d B, the correct recognition rate of this method still reaches more than 85%, indicating that this method still has good effect at low signal-to-noise ratio.