• DocumentCode
    3677575
  • Title

    Waveform design for deterministic binary targets

  • Author

    Bingqi Zhu;Hui Sheng;Yesheng Gao;Yiran Jin;Kaizhi Wang;Xingzhao Liu

  • Author_Institution
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
  • fYear
    2015
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    A method for optimal waveform-based test to solve the binary targets classification problem is proposed in this paper. The two targets responses are all assumed to be deterministic vectors, and Neyman-Pearson criteria-based optimal waveform design method is used to determine which of these two targets is in the illumination scene. By this method, we can make final decision by using designed waveform. Simulated results are presented not only on the comparison of the linear frequency modulation (LFM) signals with the designed waveforms, but also the performance by using optimal waveforms. Finally, the conclusions are drawn based on our analysis and simulations.
  • Keywords
    "Conferences","Apertures","Decision support systems"
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2015 IEEE 5th Asia-Pacific Conference on
  • Type

    conf

  • DOI
    10.1109/APSAR.2015.7306239
  • Filename
    7306239