• DocumentCode
    40814
  • Title

    MLC-SUMPLE Algorithm for Aligning Antenna Arrays in Deep Space Communication

  • Author

    Yong Shang ; Xiaotao Feng

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • Volume
    49
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct-13
  • Firstpage
    2828
  • Lastpage
    2834
  • Abstract
    For reliable reception of weak signals from spacecraft, a large antenna array structure is commonly employed in deep space communication system. The signal correlation is one of the methods used to combine signals from individual antennas. However, because the signal-to-noise ratio (SNR) from individual antennas is comparatively low, the phase offsets derived from the correlation cannot be used directly to align the signals, and some special processing is necessary to take advantage of all the antenna pairs. SUMPLE and matrix-free algorithms are two main approaches that have been analyzed or implemented with the array. Based on existing SUMPLE and matrix-free algorithms, a unified model is proposed and analyzed, and a novel algorithm named MLC-SUMPLE is proposed based on the new model. Theoretical analysis and simulations proved that the new algorithm performs better than existing combining algorithms in both the speed of convergence and steady-state performance.
  • Keywords
    antenna arrays; correlation methods; signal processing; space communication links; space vehicles; telecommunication network reliability; MLC-SUMPLE algorithm; SNR; antenna array structure; deep space communication system; matrix-free algorithm; phase offset; signal correlation; signal-to-noise ratio; spacecraft; weak signal reception reliability; Algorithm design and analysis; Analytical models; Antenna arrays; Convergence; 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.2013.6621858
  • Filename
    6621858