• DocumentCode
    1883577
  • Title

    Efficiency analysis for signal combining of antenna arraying in deep space TT&C systems

  • Author

    Lu, Manhong ; Zhou, Sanwen Zhou ; Huang, Jianguo ; Meng, Qingwei

  • Author_Institution
    Coll. of Marine Eng., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    12-15 Aug. 2012
  • Firstpage
    560
  • Lastpage
    564
  • Abstract
    Antenna arraying is an efficient method to increase antenna equivalent gain in deep space telemetry tracking and command (TT&C) applications where the signal to noise ratio (SNR) is so low that the received signals from the space craft can not be efficiently processed at the receiver. Combining efficiency is the key factor to determine which combining method can be employed for antenna arraying in deep space communications. However, no related researches have been carried out in the literatures. In this paper, detailed theoretic analysis is carried out for the combining efficiency for full-spectrum combining (FSC) methods, which can provide reference for TT&C receiver designers. Analysis results show that the SUMPLE correlation algorithm is optimal in combining efficiency, higher combining efficiency can be gained with higher SNR at each antenna, more antennas, narrower correlation bandwidth and narrower phase difference loop bandwidth.
  • Keywords
    antenna arrays; space communication links; space telemetry; space vehicles; SUMPLE correlation; TT&C receiver designers; antenna arraying; antenna equivalent gain; deep space TT&C systems; deep space communications; full-spectrum combining methods; received signals; signal combining; signal to noise ratio; spacecraft; telemetry tracking and command applications; Algorithm design and analysis; Antenna arrays; Bandwidth; Correlation; Power capacitors; Signal to noise ratio; antenna arraying; combining efficiency analysis; deep space TT&C; full-spectrum combining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2192-1
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2012.6335694
  • Filename
    6335694