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基于RBF神经网络的认知无线电频谱的联合检测

Collaborative Spectrum Detection based on RBF Neural Network for Cognitive Radio
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摘要 认知无线电是解决当前频谱短缺问题的重要手段之一。在不干扰授权用户的情况下,非授权用户感知到授权用户未使用的频段,快速接入频谱,实现通信。一旦检测到授权用户出现时,非授权用户要立即退出正在使用的频段。本文充分利用径向基神经网络的优点,中心节点处放置一个径向基神经网络的模块,决定授权用户是否存在。这种方法可以提高认知无线电网络里感知的性能。 Cognitive radio is one of important means to solve the current shortage of spectrum. Not interfere with primary users'case, second users sensing the unoccupied frequency band, then ac-cess spectrum quickly and finish communication. SU has to exit from the using spectrum, as de-tecting existence of PU. This paper applying adequately the advantages of RBF neural network, the center node is placed module of RBF neural network so that decides whether PU is existence. The method may improve the performance of sensing in cognitive radio network.
作者 吴媛媛 郭滨
出处 《工程与试验》 2012年第3期35-37,49,共4页 Engineering and Test
关键词 认知无线电 联合检测 径向基函数 神经网络 cognitive radio collaborative detection Radial Basis Function neural network
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参考文献9

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