• DocumentCode
    3581706
  • Title

    Quantitative jet engine localization in HRR-JEM radar images

  • Author

    Park, Ji-Hoon ; Yang, Woo-Yong ; Bae, Jun-Woo ; Kang, Seong-Chul ; Myung, Noh-Hoon

  • Author_Institution
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 373-1, Guseong-Dong, Yuseong-Gu, Daejeon 305-701, Korea
  • fYear
    2014
  • Firstpage
    1351
  • Lastpage
    1353
  • Abstract
    This paper presents two new approaches for quantitative jet engine localization in high resolution range-jet engine modulation (HRR-JEM) radar images. Whereas one is based on the signal eccentricity, the other is inspired by adaptive chirplet decomposition (ACD). The signal eccentricity serves as a reliable metric for evaluating the JEM contribution to each range bin signal. In addition, the chirplet parameter distribution derived from ACD can also provide supplementary means for jet engine localization. Examination with the simulated HRR-JEM image demonstrates that the proposed approaches are expected to be significantly helpful in advanced radar target recognition.
  • Keywords
    Abstracts; Chirp; Decision support systems; Jet engines; Radar imaging; Target recognition; adaptive chirplet decomposition; high resolution range; jet engine modulation; radar target recognition; signal eccentricity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference (APMC), 2014 Asia-Pacific
  • Type

    conf

  • Filename
    7067715