• DocumentCode
    3569170
  • Title

    Sar optimum waveform design for target detection based on prior knowledge

  • Author

    Zhu, Bingqi ; Wang, Kaizhi ; Liu, Xingzhao

  • Author_Institution
    Dept. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • Firstpage
    111
  • Lastpage
    115
  • Abstract
    With the development of SAR technology, it is now possible to transmit proper waveforms according to different missions. In this paper, we apply the optimum waveform design method to meet the application of special known-target detection and aim at enhance the target detection rate. Not only transmitted waveforms, but also both range and azimuth matched filters are designed based on maximizing the signal to interference plus noise ratio (SINR). Three waveform design solutions are given theoretically corresponding to different situations, and numerical simulation results are presented to prove the accuracy and effectiveness of our algorithm. Then conclusions are drawn based on our analysis and simulations.
  • Keywords
    matched filters; numerical analysis; object detection; radar detection; SAR optimum waveform design; SINR; azimuth matched filters; numerical simulation; prior knowledge; signal to interference plus noise ratio; synthetic aperture radar; target detection rate enhancement; Azimuth; Clutter; Matched filters; Signal to noise ratio; Synthetic aperture radar; SAR system; SINR; matched filter; optimum waveform design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334172