发明名称 Classifying wireless signals
摘要 The present disclosure discloses a system and method for. classifying Wi-Fi signals from Fourier transform samples. Generally, classifying Wi-Fi signals from Fourier transform samples includes: collecting and dividing Fourier transform samples into frequency blocks; determining the bandwidth for the Fourier transform sample; and determining whether the Fourier transform sample corresponds to a narrowband signal. Further, if a determination is made that the Fourier transform sample does not correspond to a narrowband signal, channel utilization is calculated based on a determination that the FFT sample corresponds to a Wi-Fi signal. If it is determined that the Fourier transform sample corresponds to a narrowband signal, then a determination is made that the FFT sample corresponds to a Wi-Fi signal based on certain criteria. The certain criteria may include one or more of a slope value, a number of sub-peak bins, an analysis of adjacent channels, characteristic matching, or other criteria.
申请公布号 US9429647(B2) 申请公布日期 2016.08.30
申请号 US201314097188 申请日期 2013.12.04
申请人 Aruba Networks, Inc. 发明人 Ponnuswamy Subbu;Muniyappa Nethra;Sirigineni Kiranmaye
分类号 H04L5/14;H04L12/28;H04J3/00;G01S13/00;H04L27/26 主分类号 H04L5/14
代理机构 Mannava & Kang, P.C. 代理人 Mannava & Kang, P.C.
主权项 1. A non-transitory computer readable medium comprising instructions which, when executed by one or more hardware processors, causes performance of operations comprising: determining, for each of a plurality of frequency bins in a Fourier Transform sample, a corresponding signal strength, the Fourier Transform sample corresponding to a wireless signal as detected at a first time period; identifying a first frequency bin, from the plurality of frequency bins, with a first signal strength, the first signal strength being a highest signal strength in the signal strengths corresponding to each of the plurality of frequency bins; determining a decrease in signal strength between (a) the first signal strength corresponding to the first bin and (b) a second signal strength corresponding to a second bin in the plurality of bins; and classifying the Fourier Transform sample based at least on the decrease in signal strength and a frequency difference between the first bin and the second bin, andon an average difference between sets of signal strengths corresponding to bins in the plurality of frequency bins.
地址 Sunnyvale CA US
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