전기전자학회논문지 (Journal of IKEEE)

  • 제25권2호
  • /
  • Pages.252-260
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  • 2021
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  • 1226-7244(pISSN)
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  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
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Identification of Wi-Fi and Bluetooth Signals at the Same Frequency using Software Defined Radio

  • Do, Van An (Dept. of Information & Communication Eng., Kongju National University) ;
  • Rana, Biswarup (Smart Natural Space Research Centre, Kongju National University) ;
  • Hong, Ic-Pyo (Dept. of Information & Communication Eng., Kongju National University)
  • 투고 : 2021.04.23
  • 심사 : 2021.06.01
  • 발행 : 2021.06.30
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초록

In this paper, a method of using Software Defined Radio (SDR) is proposed for improving the accuracy of identifying two kinds of signals as Wireless Fidelity (Wi-Fi) signal and Bluetooth signal at the same frequency band of 2.4 GHz based on the time-domain signal characteristic. An SDR device was set up for collecting transmitting signals from Wi-Fi access points (Wi-Fi) and mobile phones (Bluetooth). Different characteristics between Wi-Fi and Bluetooth signals were extracted from the measured result. The SDR device is programmed with a Wi-Fi and Bluetooth detection algorithm and a collision detection algorithm to detect and verify the Wi-Fi and Bluetooth signals based on collected IQ data. These methods are necessary for some applications like wireless communication optimization, Wi-Fi fingerprint localization, which helps to avoid interference and collision between two kinds of signals.

키워드

과제정보

This work was supported in part by the Basic Science Research Program under Grant 2020R1I1A3057142, and in part by the Priority Research Centers Program through the National Research Foundation of Korea under Grant 2019R1A6A1A03032988.

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