Feature extraction from I/Q signals for ZigBee devices identification

DOI Web Site 7 References
  • Shinoda Ryota
    Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology
  • Yoshitani Ibuki
    Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology
  • Miyaji Yuichi
    Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology
  • Uehara Hideyuki
    Dept. of Electrical and Electronic Information Engineering, Toyohashi University of Technology

Abstract

<p>In this letter, we have developed a novel and simple feature extraction that exploits the characteristics of I/Q signals received from ZigBee devices to represent RF circuit impairments such as the frequency offset and I/Q imbalance. Experiments have been carried out to evaluate the identification performance in several scenarios: line-of-sight (LOS) and non line-of-sight (NLOS) environments, varying distance between the transmitter and receiver. The results show that our method can identify twelve ZigBee devices with high accuracy. In addition, it is revealed that some features are sensitive to environmental change during the training and test phases.</p>

Journal

  • IEICE Communications Express

    IEICE Communications Express 10 (12), 942-947, 2021-12-01

    The Institute of Electronics, Information and Communication Engineers

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