• DocumentCode
    2959504
  • Title

    Cognitive radar waveform design for spectral coexistence

  • Author

    Piezzo, M. ; De Maio, A. ; Aubry, A. ; Farina, A.

  • Author_Institution
    DIBET, Univ. degli Studi di Napoli "Federico II", Naples, Italy
  • fYear
    2013
  • fDate
    April 29 2013-May 3 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In the present paper, the synthesis of optimized radar waveforms ensuring spectral compatibility with the overlayed electromagnetic radiators is addressed. Cognition provided by a Radio Environmental Map (REM) is exploited so as to induces dynamic spectral constraints on the radar waveform. A waveform optimization aiming at improving some radar performances is proposed, whose feasibility is extensively studied. The procedure requires the relaxation of the original problem into a convex optimization problem and involves a polynomial computational complexity. At the analysis stage, the waveform performance is studied in terms of trade-off among the achievable Signal to Interference plus Noise Ratio (SINR), spectral shape, and the resulting AutoCorrelation Function (ACF).
  • Keywords
    computational complexity; convex programming; electromagnetic waves; radar; ACF; REM; SINR; autocorrelation function; cognitive radar waveform design; convex optimization; electromagnetic radiators; polynomial computational complexity; radio environmental map; signal to interference plus noise ratio; spectral coexistence; spectral compatibility; Interference; Jamming; Optimization; Polynomials; Radar; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RADAR), 2013 IEEE
  • Conference_Location
    Ottawa, ON
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4673-5792-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2013.6586024
  • Filename
    6586024