Data-Driven STFT for UAV Micro-Doppler Signature Analysis

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      The Short Time Fourier Transform (STFT) constructs the instantaneous spectrum of an observed dataset after applying a temporal taper for the sake of micro-Doppler feature extraction. Here, the temporal window applied to the STFT is adjusted proportionally to the instantaneous periodicity of the dataset as to establish more consistent UAV micro-Doppler signatures and improve the separability of relevant features. The outlined approach is developed in the context of UAV rotor blade analysis. Techniques for estimating the periodicity of the radar returns and examining the temporal correlation of the signal are presented. To demonstrate the efficacy of the proposed data-driven STFT algorithm, simulated and experimentally measured results of UAV rotor blades are analyzed.
    • Contents Note:
      Conference Acronym: RADAR
    • Author Affiliations:
      Radar Systems Lab (RSL), University of Kansas,Lawrence,KS
    • ISBN:
      978-1-7281-6813-5
      978-1-7281-6812-8
    • ISSN:
      2640-7736
    • Relation:
      2020 IEEE International Radar Conference (RADAR)
    • Accession Number:
      10.1109/RADAR42522.2020.9114726
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9114726
    • Conference Acronym:
      RADAR
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Washington, DC, USA, USA

      Conference Start Date: 28 April 2020

      Conference End Date: 30 April 2020
    • Accession Number:
      edseee.9114726
  • Citations
    • ABNT:
      HERR, D. B.; TAHMOUSH, D. Data-Driven STFT for UAV Micro-Doppler Signature Analysis. 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, [s. l.], p. 1023–1028, 2020. DOI 10.1109/RADAR42522.2020.9114726. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9114726. Acesso em: 14 ago. 2020.
    • AMA:
      Herr DB, Tahmoush D. Data-Driven STFT for UAV Micro-Doppler Signature Analysis. 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International. April 2020:1023-1028. doi:10.1109/RADAR42522.2020.9114726
    • APA:
      Herr, D. B., & Tahmoush, D. (2020). Data-Driven STFT for UAV Micro-Doppler Signature Analysis. 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, 1023–1028. https://doi.org/10.1109/RADAR42522.2020.9114726
    • Chicago/Turabian: Author-Date:
      Herr, Daniel B, and Dave Tahmoush. 2020. “Data-Driven STFT for UAV Micro-Doppler Signature Analysis.” 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, April, 1023–28. doi:10.1109/RADAR42522.2020.9114726.
    • Harvard:
      Herr, D. B. and Tahmoush, D. (2020) ‘Data-Driven STFT for UAV Micro-Doppler Signature Analysis’, 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, pp. 1023–1028. doi: 10.1109/RADAR42522.2020.9114726.
    • Harvard: Australian:
      Herr, DB & Tahmoush, D 2020, ‘Data-Driven STFT for UAV Micro-Doppler Signature Analysis’, 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, pp. 1023–1028, viewed 14 August 2020, .
    • MLA:
      Herr, Daniel B., and Dave Tahmoush. “Data-Driven STFT for UAV Micro-Doppler Signature Analysis.” 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, Apr. 2020, pp. 1023–1028. EBSCOhost, doi:10.1109/RADAR42522.2020.9114726.
    • Chicago/Turabian: Humanities:
      Herr, Daniel B, and Dave Tahmoush. “Data-Driven STFT for UAV Micro-Doppler Signature Analysis.” 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International, April 1, 2020, 1023–28. doi:10.1109/RADAR42522.2020.9114726.
    • Vancouver/ICMJE:
      Herr DB, Tahmoush D. Data-Driven STFT for UAV Micro-Doppler Signature Analysis. 2020 IEEE International Radar Conference (RADAR), Radar Conference (RADAR), 2020 IEEE International [Internet]. 2020 Apr 1 [cited 2020 Aug 14];1023–8. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9114726