• DocumentCode
    1765702
  • Title

    A new radar waveform design algorithm with improved feasibility for spectral coexistence

  • Author

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

  • Author_Institution
    Univ. of Naples Federico II, Naples, Italy
  • Volume
    51
  • Issue
    2
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    1029
  • Lastpage
    1038
  • Abstract
    Radar signal design in a spectrally crowded environment is currently a challenge due to the increasing requests for spectrum from both military sensing applications and civilian wireless services. The goal of this paper is to improve a previously devised algorithm for the synthesis of optimized radar waveforms fulfilling spectral compatibility with overlaid licensed radiators. The new technique achieves an enhanced spectral coexistence with the surrounding electromagnetic environment through a suitable modulation of the transmitted waveform energy, which was kept fixed at the maximum level in the previously devised algorithm. 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), also in situations where the previous technique cannot be applied.
  • Keywords
    correlation methods; military radar; radar signal processing; spectral analysis; SINR; autocorrelation function; civilian wireless services; electromagnetic environment; military sensing applications; overlaid licensed radiators; radar signal design; radar waveform design algorithm; signal-to-interference-plus-noise ratio; spectral coexistence; spectral compatibility; spectral shape; transmitted waveform energy modulation; Algorithm design and analysis; Interference; Linear matrix inequalities; Modulation; Optimization; 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.2014.140093
  • Filename
    7126162