基于无线传感网的分布式协作调制识别算法  

Distributed cooperative modulation recognition based on wireless sensor networks

作　　者：汪伟[1] 张效义[1] 胡赟鹏[1] 

机构地区：[1]解放军信息工程大学信息系统工程学院,郑州450002

出　　处：《计算机应用研究》2014年第5期1524-1527,共4页Application Research of Computers

基　　金：国家科技重大专项资助项目(2010ZX03006-002)

摘　　要：针对低信噪比时单接收节点调制识别率低的问题,提出了基于无线传感网的分布式协作调制识别方法,在低信噪比下实现对四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节点,从提高性能出发,在节点能耗最小的前提下,根据特征的识别能力与信噪比的关系以及特征计算量来设计协作方案,每节点只提取部分特征。中心节点处将汇聚来的特征组合成特征向量,并利用支持向量机分类器对其进行分类。仿真表明,该方法的识别性能优于单节点和已有的多节点方法,传感器节点能耗降低,并且对信噪比环境具有更好的自适应性。Aiming at the low recognition rate when SNR is low in single node, this paper proposed a distributed cooperative method to recognize different modulation types based on wireless sensor networks and realized correct recognition of four classic modulations in low-SNR environment. It used several collaborated sensors in networks to improve the performance of the system and based on the principle of lowest sensor overhead. It designed cooperative method according to the relationships between the ability of the characte-ristics with the SNR and the calculation of characteristics, and each node extracted part of the characte- ristics. It combined a feature vector by the features which sent to the central node. Then it used support vector machine classifier to recognize the signals. Simulation results show that the recognition rate of the proposed method is higher than the single-node and the existed multi-nodes method, overhead of sensor is reduced, and has better adaptability to SNR environ- ments.

关 键 词：无线传感网 调制识别 分布式协作 支持向量机 自适应性 

分 类 号：TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]