Journal of Web Engineering

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Performance of Digital Drone Signage System Based on DUET

  • Isaac Sim (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • Young Ghyu Sun (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • Soo Hyun Kim (Department of Electronic Convergence Engineering, Kwangwoon University) ;
  • SangWoon Lee (Department of Multimedia, Namseoul University) ;
  • Cheong Ghil Kim (Department of Computer Science, Namseoul University) ;
  • Jin Young Kim (Department of Electronic Convergence Engineering, Kwangwoon University)
  • Received : 2021.04.28
  • Accepted : 2021.10.14
  • Published : 2021.12.30
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Abstract

In this letter, we study a scenario based on degenerate unmixing estimation technique (DUET) that separates original signals from mixture of FHSS signals with two antennas. We have shown that the assumptions for separating mixed signals in DUET can be applied to drone based digital signage recognition signals and proposed the DUET-based separation scheme (DBSS) to classify the mixed recognition drone signals by extracting the delay and attenuation components of the mixture signal through the likelihood function and the short-term Fourier transform (STFT). In addition, we propose an iterative algorithm for signal separation with the conventional DUET scheme. Numerical results showed that the proposed algorithm is more separation-efficient compared to baseline schemes. DBSS can separate all signals within about 0.56 seconds when there are fewer than nine signage signals.

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Acknowledgement

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2021-2018-0-01424 and IITP-2021-0-01846) supervised by the IITP (Institute for Information & communications Technology Promotion).