• DocumentCode
    494375
  • Title

    Optimal Mismatch Network in Active Radar Reflector

  • Author

    Yiding Wang ; Hai Wang

  • Author_Institution
    North China Univ. of Technol., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    The use of mismatch network to modulate the retransmitted signal of an active radar reflector (ARR) can separate the reflected ARR signal from background signals effectively. The effect of separation depends on the characteristics of the mismatch network. In order to achieve the best separation between the reflected ARR signal and background signals, we need to make optimization design of mismatch network. This paper gives out an optimal mismatch network, which is modeled as weighting functions. Based on the loss of signal noise rate (SNR), the optimal weighting coefficients can be solved. Simulation experiments with compression of line frequency modulate (LFM) signals were carried out. The results prove that the mismatch network could separate the reflected ARR signal from background signals effectively. The optimal weighting coefficients were solved with certain SNR conditions.
  • Keywords
    radar signal processing; synthetic aperture radar; active radar reflector; background signals; frequency modulate signals; optimal mismatch network; optimization design; signal noise rate; synthetic aperture radar; weighting functions; Azimuth; Calibration; Educational technology; Focusing; Microwave radiometry; Pulse modulation; Radar remote sensing; Signal processing; Signal to noise ratio; Synthetic aperture radar; LFM; mismatch network; radar reflector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.108
  • Filename
    5070178