• DocumentCode
    1419598
  • Title

    Comparison of multiple-diffraction models for digital broadcasting coverage prediction

  • Author

    Tzaras, Constantinos ; Saunders, Simon R.

  • Author_Institution
    Surrey Univ., Guildford, UK
  • Volume
    46
  • Issue
    3
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    This paper investigates and compares the efficiency and accuracy of existing multiple diffraction prediction techniques in real outdoor environments. Extensive comparisons are presented, including more than 20 000 path profiles. It is believed that this study will enable broadcasters to design and maintain broadcast networks with an accuracy commensurate with the highly demanding requirements for new and more efficient digital services. The comparisons involve the most well-known deterministic approaches (Deygout (1966), Causebrook (1971), Giovaneli (1984), Vogler (1982)) whose key feature is either the high accuracy of their predictions or their low computation times. However, a new slope-UTD based deterministic approach, developed recently by the authors, is found to provide the best compromise between computation speed and prediction accuracy
  • Keywords
    digital radio; electromagnetic wave diffraction; radio broadcasting; radiowave propagation; Causebrook method; Deygout method; Giovaneli method; Vogler method; broadcast networks; computation speed; digital broadcasting coverage prediction; digital services; efficiency; low computation times; multiple-diffraction models; outdoor environments; path profiles; prediction accuracy; slope-UTD based deterministic approach; Accuracy; Broadcast technology; Costs; Design engineering; Diffraction; Digital audio broadcasting; Digital video broadcasting; History; Maintenance engineering; Predictive models;
  • fLanguage
    English
  • Journal_Title
    Broadcasting, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9316
  • Type

    jour

  • DOI
    10.1109/11.892159
  • Filename
    892159