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计算机工程 ›› 2012, Vol. 38 ›› Issue (16): 89-92. doi: 10.3969/j.issn.1000-3428.2012.16.022

• 网络与通信 • 上一篇    下一篇

基于无线传感器网络的多节点调制识别方法

段皓宇,李 鸥,胡赟鹏,刘 洋   

  1. (郑州信息科学与技术研究所,郑州 450002)
  • 收稿日期:2011-10-14 修回日期:2011-12-12 出版日期:2012-08-20 发布日期:2012-08-17
  • 作者简介:段皓宇(1985-),男,硕士研究生,主研方向:分布式信号与信息处理;李 鸥,教授、博士生导师;胡赟鹏,博士;刘 洋,博士研究生
  • 基金资助:
    国家科技重大专项基金资助项目“新一代宽带无线移动通信网”(2010ZX03006-002)

Multi-node Modulation Recognition Method Based on Wireless Sensor Network

DUAN Hao-yu, LI Ou, HU Yun-peng, LIU Yang   

  1. (Zhengzou Institute of Information Science and Technology, Zhengzhou 450002, China)
  • Received:2011-10-14 Revised:2011-12-12 Online:2012-08-20 Published:2012-08-17

摘要: 针对无线传感器网络多节点联合调制识别性能不随节点数目增多而提高的问题,给出一种选择性联合调制识别方法。利用该方法推导出利用表决法和加权表决法进行联合调制识别的前提条件。依据前提条件对监测节点进行筛选,以信噪比为权重对多个监测节点的识别结果进行加权表决。仿真结果表明,该方法在没有过多增加网络通信负载的情况下,有助于提高识别性能。

关键词: 频谱监测, 联合调制识别, 无线传感器网络, 识别率, 加权表决

Abstract: This paper proposes a selective combining modulation recognition method for Wireless Sensor Network(WSN), in which the performance of multi-node combining modulation recognition is not increasing with the number of the nodes. The preparing conditions of combining modulation recognition based on voting algorithm and weighted voting algorithm are presented. And the nodes are selected according to the conditions. Combining modulation recognitions are processed by using the SNR as the weights of the nodes. Simulation results show that this method has an effective improvement in recognition performance in not too much increasing network communication load.

Key words: spectrum monitoring, combining modulation recognition, Wireless Sensor Network(WSN), recognition rate, weighted voting

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