基于BP神经网络的数字调制信号样式识别

代码说明：

说明：  对于支持多种调制方式的通信系统来说，接收信号调制方式的自动识别是不可或缺的功能之一。论文研究了 六种常见的数字调制信号，提取出五种特征参数，并针对瞬时相位和瞬时频率特征参数的提取做出了改进。采用BP神经网 络算法进行自动识别，在高斯白噪声环境下仿真,(For the communication system supporting multiple modulation modes, the automatic recognition of the modulation mode of the received signal is one of the indispensable functions. This paper studies six kinds of common digital modulation signals, extracts five kinds of characteristic parameters, and improves the extraction of instantaneous phase and instantaneous frequency characteristic parameters. BP neural network algorithm is used for automatic recognition, and simulation is carried out in the Gauss white noise environment,)

文件列表：

基于BP神经网络的数字调制信号样式识别.pdf, 2457769 , 2019-10-29