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Wideband Detection for Spectrum Sensing By Cognitive Radio Network Using Smart Antennas

机译:使用智能天线的认知无线电网络的频谱检测宽带检测

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In the project a smart antennas assisted wideband spectrum mobile user detection algorithm by cognitive radios is simulated. In this approach, the wideband spectrum sensing issue is transformed into estimating the number of occupied channels based on the Noise Eigen vector method (NEVM) criterion, and then detecting the occupancy status for each channel by the sample power. The power spectrum is computed by finding the Eigen values of the NEVM criteria. Then the Eigen vectors are used in determining the power spectrum of the signal whose peaks will give information about the spectrum occupied by the mobile user.
机译:在该项目中,通过认知无线电模拟了智能天线辅助宽带频谱移动用户检测算法。在这种方法中,宽带频谱感测问题被转换为基于噪声本征向量法(NEVM)准则估计占用的信道数,然后通过采样功率检测每个信道的占用状态。通过查找NEVM标准的特征值来计算功率谱。然后,本征向量用于确定信号的功率谱,其峰值将提供有关移动用户所占频谱的信息。

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