• DocumentCode
    1162818
  • Title

    Real-time combining of residual carrier array signals using ML weight estimates

  • Author

    Vilnrotter, Victor A. ; Rodemich, Eugene R. ; Dolinar, Samuel J., Jr.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    40
  • Issue
    3
  • fYear
    1992
  • fDate
    3/1/1992 12:00:00 AM
  • Firstpage
    604
  • Lastpage
    615
  • Abstract
    A real-time digital signal combining system for use with array feeds is proposed. The combining system attempts to compensate for signal-to-noise ratio (SNR) loss resulting from antenna deformations induced by gravitational and atmospheric effects. The combining weights are obtained directly from the observed residual carrier samples in each channel using a `sliding-window´ implementation of a maximum-likelihood (ML) parameter estimator. It is shown that with averaging times of about 0.1 s, combining loss for a seven-element array can be limited to about 0.1 dB in a realistic operational environment. This result suggests that the real-time combining system proposed is capable of recovering virtually all of the signal power captured by the array feed, even in the presence of severe wind gusts and similar disturbances
  • Keywords
    real-time systems; receiving antennas; reflector antennas; space communication links; telemetering systems; ML weight estimates; SNR; antenna deformations; array feeds; atmospheric effects; averaging times; combining loss; deep space communication; digital signal combining; gravitational effects; maximum likelihood parameter estimator; real-time system; residual carrier array signals; signal power; signal-to-noise ratio; sliding-window; Bandwidth; Feeds; Frequency; Geometry; Maximum likelihood estimation; Real time systems; Reflector antennas; Signal design; Signal generators; Telemetry;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.135731
  • Filename
    135731