【作者】 裴承全； 何继爱；

【Author】 PEI Chengquan,HE Ji’ai School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China

【机构】 兰州理工大学 计算机与通信学院；

【摘要】 调制方式在民用和军用领域都有重要的作用。提出了一种在无线传感器网络中多个传感器节点分布式协作识别数字调制信号的新方法。为了克服低信噪比时单接收节点调制识别率低的缺点,实现对几种典型调制方式的正确识别,首先利用网络中相互协作的多个传感器基于稳定分布下循环平稳的相关算法提取特征参数,然后利用RBF神经网络对数字调制信号进行分类,与单节点调制识别相比,该设计的调制识别方法具有较高的识别率,并且节点系统更灵活可靠。更多还原

【Abstract】 Automatic modulation recognition(AMR) plays a key role in various civilian and military applications. In this paper,a new distributed cooperative recognition method is proposed to recognize different digital modulation types with multiple sensors in wireless sensor networks(WSNs).In order to enhance the successful recognition rate when SNR is low and realize correct recognition of several classic modulation types,effective cooperative methods are designed according to SNR of received signal and based on the principle of lowest sensor overhead.A new combination of features is extracted accordingly by several collaborated sensors to improve the performance modulation recognition system.Then the features are sent to the RBF neural network so that modulation types can be recognized. The proposed distributed cooperative algorithm has higher recognition rates with better system reliability compared with that without cooperation.更多还原