• DocumentCode
    1897626
  • Title

    Analytic design techniques for MPT antenna arrays

  • Author

    Oliveri, Giacomo ; Poli, Lorenzo ; Rocca, Paolo ; Gervasio, Vincenzo ; Massa, Andrea

  • Author_Institution
    ELEDIA Res. Group, Univ. of Trento, Trento, Italy
  • fYear
    2010
  • fDate
    11-17 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Solar Power Satellites (SPS) represent one of the most interesting technological opportunities to provide large scale, environmentally clean and renewable energy to the Earth [l]-[3]. A fundamental and critical component of SPSs is the Microwave Power Transmission (MPT) system, which is responsible for the delivery of the collected solar power to the ground rectenna [2]. Towards this end, the MPT array must exhibit a narrow main beam width (BW), a high beam efficiency (BE), and a low peak sidelobe level (PSL). Moreover, reduced realization costs and weights are also necessary [3]. To reach these contrasting goals, several design techniques have been investigated including random methods [4] and hybrid deterministic-random approaches [2] [3]. On the contrary, well-established design tools based on stochastic optimizers [5][6] are difficult to be employed, due to their high computational costs when dealing with large arrays as those of interest in SPS [3].
  • Keywords
    antenna arrays; microwave power transmission; rectennas; solar power satellites; stochastic programming; MPT; antenna arrays; beam width; earth; hybrid deterministic random approach; microwave power transmission; random methods; rectenna; renewable energy; solar power satellites; stochastic optimization; Apertures; Computational efficiency; Planar arrays; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
  • Conference_Location
    Toronto, ON
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-4967-5
  • Type

    conf

  • DOI
    10.1109/APS.2010.5562076
  • Filename
    5562076