Method of neural network modulation recognition based on clustering and Polak-Ribiere algorithm

• 作 者: Faquan Yang Zan Li Hongyan Li
• 机 构: StateKeyLaboratoryofIntegratedServiceNetworks,SchoolofElectricalandInformationEngineering
• 出 处: 系统工程与电子技术：英文版
• 发表日期: 2014年5期
• 关键词: 共轭梯度算法 调制识别 聚类算法 神经网络 低信噪比 信号调制 反向传播算法 识别方法 clustering algorithm feature extrac
• 基金项目: This work was supported by the National Natural Science Foundation of China （61072070, 61301179） and the National Science and Technology Major Project （2010ZX03006-002-04）.

To improve the recognition rate of signal modulation recognition methods based on the clustering algorithm under the low SNR, a modulation recognition method is proposed. The characteristic parameter of the signal is extracted by using a clustering algori