• DocumentCode
    1117680
  • Title

    Sparse frequency transmit-and-receive waveform design

  • Author

    Lindenfeld, Michael J.

  • Author_Institution
    Sci. Applications Int. Corp., San Diego, CA, USA
  • Volume
    40
  • Issue
    3
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    851
  • Lastpage
    861
  • Abstract
    A computationally efficient algorithm derives complex digital transmit and receive ultra-wideband radar and communication waveforms with excellent arbitrary frequency band suppression and range sidelobe minimization. The transmit waveform minimizes a scalar function penalizing weighted spectral energy in arbitrary frequency bands. Near constant power results from another penalty function for deviations from constant power, or constant power is enforced by a phase-only formulation. Next, a least squares solution for the receive waveform minimizes a weighted sum of suppressed band spectral energy and range sidelobes (for pulse and continuous wave operation), with a mainlobe response constraint. Both waveforms are calculated by iterative algorithms whose updates require only linear order in memory and computation, permitting quick calculation of long pulses with thousands of samples.
  • Keywords
    iterative methods; least squares approximations; spectral analysis; synthetic aperture radar; arbitrary frequency bands; communication waveforms; complex transmit-and-receive radar; computationally efficient algorithm; constant power; continuous wave operation; digital transmit-and-receive radar; frequency band suppression; iterative algorithms; least squares solution; mainlobe response constraint; penalty function; phase-only formulation; pulse wave operation; range sidelobes; scalar function; sidelobe minimization; sparse frequency transmit-and-receive waveform; suppressed band spectral energy; transmit waveform; ultra-wideband radar; weighted spectral energy; Array signal processing; Filtering; Filters; Frequency estimation; Interference constraints; Iterative algorithms; Least squares methods; Minimization methods; Radar; 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/TAES.2004.1337459
  • Filename
    1337459