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Raspberry Pi and RTL-SDR for Spectrum Sensing based on FM Real Signals

机译:Raspberry Pi和RTL-SDR用于基于FM实信号的频谱感测

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The cognitive radio (CR) is proposed as an optimal solution to solve the spectrum underutilization problem. Spectrum sensing is the first enabling stage in cognitive radio. The objective is to obtain the state of the band in interest (free/occupied), then use it temporarily without causing any interference to the primary user (PU). It has been shown that the energy detection is the most chosen method to detect the free bands, in the case when there is no prior information about the primary user. In this paper, we are interested in the implementation of the spectrum sensing (SS) operation based on a real FM signal generated by Raspberry pi 3 card using the FHSS method, and captured under MATLAB-Simulink software by an RTL-SDR hardware. The performance of this approach is evaluated in terms of its ability to detect the transmitted signal.
机译:提出了认知无线电(CR)作为解决频谱利用率不足问题的最佳解决方案。频谱感测是认知无线电的第一个启用阶段。目的是获得所关注频段的状态(空闲/已占用),然后暂时使用它,而不会对主要用户(PU)造成任何干扰。已经表明,在没有关于主要用户的先验信息的情况下,能量检测是检测自由频带的最选择的方法。在本文中,我们对基于Raspberry pi 3卡使用FHSS方法生成的真实FM信号,并由RTL-SDR硬件在MATLAB-Simulink软件下捕获的实频FM信号的频谱检测(SS)操作的实现感兴趣。根据该方法检测传输信号的能力来评估其性能。

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