• DocumentCode
    763840
  • Title

    Approaches to modelling FM video spectra for satellite signal interference prediction

  • Author

    Carpenter, D.C. ; Gallois, A.P. ; Mittelholtz, D.K.

  • Author_Institution
    Coventry Polytech., UK
  • Volume
    34
  • Issue
    1
  • fYear
    1988
  • fDate
    3/1/1988 12:00:00 AM
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    Three approaches to modelling FM video spectra which include energy dispersal are described. The first method is an analytical approach minimizing computer processing time. The second gives a more complete solution using numerical methods. In the third approach a statistical model is proposed with particular application to interference analysis. Each approach has both advantages and disadvantages, the most suitable method must be chosen depending on the application and availability of data. With limited data samples it is probable that one of the first two techniques can be used. The analytical approach minimizes computation time but is only effective around the carrier. The numerical analysis provides a more complete approach but requires substantial computer processing. Hence, for CCI (cochannel interference) analysis, the analytical method is acceptable. For an ACI (adjacent-channel interference) problem, the FFT (fast Fourier transform) approach is more realistic. The final method relies on the existence of the system to enable extensive data collection to be carried out
  • Keywords
    direct broadcasting by satellite; interference (signal); satellite relay systems; television interference; video signals; DBS; FM video spectra; adjacent-channel interference; analytical approach; cochannel interference; energy dispersal; fast Fourier transform; modelling; numerical methods; satellite signal interference prediction; statistical model; Application software; Autocorrelation; Bandwidth; Frequency modulation; Interference; Multimedia communication; North America; Predictive models; Satellite broadcasting; Signal analysis;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/11.1414
  • Filename
    1414