基于人工神经网络的DVB-S2数字信号调制模式识别

Pattern Recognition of DVB-S2 Digital Signals Based on Artificial Neural Network

人工神经网络(ANN)是模仿生物神经网络的结构提出的模型,它所具有的并行分布处理等优点使其在模式识别领域有很大的应用潜力。本文针对新发布的DVB-S2标准,对应用人工神经网络进行数字信号调制模式自动识别进行了研究,设计并实现了对QPSK、8PSK、16APSK、32APSK四种调制模式的自动识别系统。

Artificial neural network （ANN） is the model which imitate biology neural network, its virtues such as parallel distributing dispose make it has much application potential in signal pattern recognition. This paper makes researches on the automatic recognition of DVB-S2 digital modulation schemes using artificial neural network （ANN）, and constructed an automatic recognition system to distinguish QPSK,8PSK,16APSK and 32APSK digital signals.