• DocumentCode
    1472816
  • Title

    Radar processing gain improvement over frequency using the discrete wavelet transform

  • Author

    Noonan, Joseph P. ; Marquis, David A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Tufts Univ., Medford, MA, USA
  • Volume
    35
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    The range-gated fast Fourier transform (FFT) is the most common implementation of the optimum receiver for radar signals having random phase, frequency, and arrival time. In practice, the receiver is only optimum for input signals with frequency equal to an FFT bin frequency. Here the discrete wavelet transform (DWT) is applied to the FFT output to recover processing gain (PG) lost for nonoptimum input signals. Since the FFT and FFT-DWT have optimum performance for different input frequencies, these algorithms can be combined by binary integration (BI) to result in a dramatically improved worst case PG over frequency
  • Keywords
    discrete wavelet transforms; fast Fourier transforms; matched filters; radar detection; radar signal processing; radar theory; AWGN; Daubechies wavelet; FFT output; Hamming weighting; SNR; binary integration; detection probability; discrete wavelet transform; matched filter; nonoptimum input signals; optimum receiver; radar processing gain improvement; radar signals; random arrival time; random frequency; random phase; range-gated fast Fourier transform; Bismuth; Discrete Fourier transforms; Discrete transforms; Discrete wavelet transforms; Fast Fourier transforms; Frequency; Radar detection; Radar signal processing; Signal processing; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/7.745707
  • Filename
    745707