首页|独立成分分析を用いた電磁雑音波形抽出の基礎検討

独立成分分析を用いた電磁雑音波形抽出の基礎検討

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For the safe operation of next-generation autonomous mobiles such as drones,5G (5th generation mobile phone) technology is used.On the other hand,electromagnetic noise generated by next-generation autonomous mobiles such as drones and electromagnetic noise generated by other electronic devices may interfere with the 5G radio waves used for their own communication control.However,in general,the electromagnetic noise measured by an antenna cannot measure only the electromagnetic noise component that has an adverse effect on 5G communication,and the electromagnetic waves of all components including the original communication signal are measured at the same time.Therefore,in this research,an independent component analysis (ICA) program is coded using the programming language Python as a basic study of analysis technology that extracts the required noise waveform from the measurement results of electromagnetic fields.In addition,the above-mentioned ICA program is used to separate and extract the actual electromagnetic noise composed of two types of noise waveforms.
独立成分分析を用いた電磁雑音波形抽出の基礎検討

Python独立成分分析電磁雑音波形5G

髙橋 直央、石上 忍、川又 憲

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東北学院大学 工学研究科 〒985-0873 宮城県多賀城巿中央1-13-1

電磁環境研究会

電気学会研究会資料 電磁環境研究会

21-25

2020