基于特征提取的数字通信信号调制识别方法

Digital Communication Signal Modulation Rcognition Method Based on Feature Extraction

为实现对数字通信信号调制方式的精准识别,基于特征提取,设计数字通信信号调制识别方法。根据信号的空间矩阵表达方式,归一处理信号中心瞬时幅度,提取数字通信信号调制特征;引进瞬时特征处理法,利用其中的Hilbert工具,处理短时信号的瞬态特性和具有复杂表象的瞬态参数;利用小波分析法,检测信号转换过程中的变异行为,以此作为信号的分类依据,实现对信号特征的处理与分类;引进谱线分析法,将信号在循环传输过程中的密度谱峰数量、峰值、空间分布等作为参照,精准识别信号。设计实例应用实验,通过实验证明,该方法可以实现在不同条件下,对不同类型调制信号的精准识别。

In order to realize the accurate recognition of modulation mode of digital communication signal,a modulation recognition method of digital communication signal is designed based on feature extraction.According to the spatial matrix expression of the signal,the instantaneous amplitude of the signal center is normalized to extract the modulation characteristics of the digital communication signal.The transient feature processing method is introduced and Hilbert tool is used to process transient characteristics of short-term signals and transient parameters with complex representations.The wavelet analysis method is used to detect the variation behavior in the process of signal conversion,which is used as the basis of signal classification to realize the processing and classification of signal characteristics.The spectral line analysis method is introduced to accurately identify signals by referring to the number,peak and spatial distribution of density spectral peaks in the cycle transmission of signals.The experimental results show that this method can accurately identify different types of modulation signals under different conditions.