• DocumentCode
    734917
  • Title

    Optimized diagnosis of reflectors misalignements in radioastronomical applications

  • Author

    Capozzoli, Amedeo ; Curcio, Claudio ; D´Elia, Giuseppe ; Liseno, Angelo ; Savarese, Salvatore ; Schipani, Pietro

  • Author_Institution
    Dipt. di Ing. Elettr. e Tecnol. dell´Inf. (DIETI), Univ. degli Studi di Napoli Federico II, Naples, Italy
  • fYear
    2015
  • fDate
    13-17 April 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper presents an innovative method for the diagnosis of reflector antennas for radio astronomical applications in terms of feed misalignment. The method optimizes the number and the location of the far field sampling points exploited to retrieve the antenna status in order to reduce the time required for the measurement. The goal is achieved by introducing a relevant linear operator connecting the unknowns describing the status of the antenna and its far field pattern thanks to a proper representation of the unknowns, and by optimizing its singular values behavior. A numerical result is provided in the simple case of a phase aperture affected by tilt only, even if the approach is suited for higher order aberrations too. It show that the approach is capable to significantly reduce the number of required samples compared to a standard grid defined according to the Nyquist criterion without affecting the performance of the diagnosis.
  • Keywords
    radioastronomy; reflector antennas; Nyquist criterion; far field sampling points; feed misalignment; phase aperture; radioastronomical applications; reflector antennas; reflectors misalignments; relevant linear operator; Antenna measurements; Extraterrestrial measurements; Feeds; Microwave antennas; Optimization; Reflector antennas; Standards; Antenna Measurement; Reflector antenna diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2015 9th European Conference on
  • Conference_Location
    Lisbon
  • Type

    conf

  • Filename
    7228962