• DocumentCode
    180344
  • Title

    Scalable, efficient ASICS for the square kilometre array: From A/D conversion to central correlation

  • Author

    Schmatz, Martin L. ; Jongerius, Rik ; Dittmann, Gero ; Anghel, Andreea ; Engbersen, T. ; van Lunteren, Jan ; Buchmann, Peter

  • Author_Institution
    IBM Res. - Zurich, Zurich, Switzerland
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    7505
  • Lastpage
    7509
  • Abstract
    The Square Kilometre Array (SKA) is a future radio telescope, currently being designed by the worldwide radio-astronomy community. During the first of two construction phases, more than 250,000 antennas will be deployed, clustered in aperture-array stations. The antennas will generate 2.5 Pb/s of data, which needs to be processed in real time. For the processing stages from A/D conversion to central correlation, we propose an ASIC solution using only three chip architectures. The architecture is scalable - additional chips support additional antennas or beams - and versatile - it can relocate its receiver band within a range of a few MHz up to 4GHz. This flexibility makes it applicable to both SKA phases 1 and 2. The proposed chips implement an antenna and station processor for 289 antennas with a power consumption on the order of 600W and a correlator, including corner turn, for 911 stations on the order of 90 kW.
  • Keywords
    analogue-digital conversion; antenna arrays; application specific integrated circuits; integrated circuit design; radioastronomy; radiotelescopes; A/D conversion; ASIC design; SKA; antenna; aperture-array station; bit rate 2.5 Pbit/s; central correlation; power 600 W; power 90 kW; radio telescope; radio-astronomy community; square kilometre array; Antennas; Application specific integrated circuits; Array signal processing; Arrays; Correlation; Correlators; Finite impulse response filters; ASIC Design; Beamforming; Correlation; Radio Astronomy; Square Kilometre Array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6855059
  • Filename
    6855059