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Methods and apparatus for monitoring occupancy of wideband GHz spectrum and sensing and decoding respective frequency components of time-varying signals using sub-nyquist criterion signal sampling

机译:使用亚奈奎斯特准则信号采样来监视宽带GHz频谱占用并感测和解码时变信号的各个频率分量的方法和装置

摘要

Methods and apparatus for monitoring wideband GHz spectrum for wireless communication, and sensing and decoding respective frequency components of a time-varying signal corresponding to the monitored spectrum. Concepts relating to sparse Fast Fourier Transform (sFFT) techniques facilitate identification of one or more frequency components of a sparsely occupied spectrum by sub-sampling the signal corresponding to the monitored spectrum at a sampling rate below the Nyquist criterion. The disclosed methods and apparatus may be implemented using conventional relatively low-power wireless receivers and using off-the-shelf relatively inexpensive low-speed and low-power analog-to-digital converters (ADCs) typically employed in WiFi devices or cellular phones, in tandem with unique processing techniques based on sFFTs and sub-Nyquist criterion sampling, and have demonstrated efficacy even in scenarios where the monitored spectrum is not sparse.
机译:用于监视用于无线通信的宽带GHz频谱以及感测和解码与所监视的频谱相对应的时变信号的各个频率分量的方法和装置。与稀疏快速傅立叶变换(sFFT)技术有关的概念通过以低于Nyquist准则的采样速率对与监视频谱相对应的信号进行二次采样,有助于识别稀疏占用频谱的一个或多个频率分量。可以使用常规的相对低功率的无线接收器以及通常在WiFi设备或蜂窝电话中使用的现成的相对便宜的低速和低功率模数转换器(ADC)来实现所公开的方法和装置,与基于sFFT和亚奈奎斯特准则采样的独特处理技术相结合,即使在监控频谱不稀疏的情况下,也已经证明了其有效性。

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