• DocumentCode
    1793448
  • Title

    Weight windows — An improved approach

  • Author

    Cohen, Israel ; Levanon, Nadav

  • Author_Institution
    Dept. of Electr. Eng. - Syst., Tel Aviv Univ., Bnei Brak, Israel
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Weight windows are an important part of spectral analysis, especially in radar Doppler processing. Presently their study is in a stalemate, accepting the present tradeoff between mainlobe width and sidelobes attenuation as a fait accompli. An exception is Stankwitz et. al. Apodization technique for sidelobe reduction in SAR images. Our paper suggests an improved approach to windowing with performances expected from “Tri-Apodization” but with computational complexity of “Dual Apodization”. The new approach achieves smaller SNR loss than a single low-sidelobes window. Basically the processor performs two FFTs following different windows and chooses the minimum at each output element. The predicted improved performances are confirmed by results from measured radar data.
  • Keywords
    Doppler radar; computational complexity; fast Fourier transforms; radar imaging; spectral analysis; synthetic aperture radar; FFT; SAR image; SNR loss; computational complexity; dual apodization; fast Fourier transform; mainlobe width; radar Doppler processing; sidelobe attenuation; sidelobe reduction; signal-to-noise ratio; spectral analysis; synthetic aperture radar; triapodization technique; weight windows; Doppler effect; Doppler radar; Radar tracking; Reflection; Signal to noise ratio; Wheels; Dolph-Chebyshev; Doppler response; FFT; Hamming; Weight windows; radar; sidelobe reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4799-5987-7
  • Type

    conf

  • DOI
    10.1109/EEEI.2014.7005852
  • Filename
    7005852