• DocumentCode
    177041
  • Title

    Path loss prediction over lunar surface with obstacle diffraction

  • Author

    Huang Pan ; Zhu Qiuming ; Xue Cuiwei ; Chen Xueqiang ; Han Yu

  • Author_Institution
    Key Lab. of Radar Imaging & Microwave Photonics, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    1276
  • Lastpage
    1279
  • Abstract
    A new solution to predict radio wave propagation loss over lunar surface with obstacles is proposed. For this method, transmission loss over lunar surface is simplified into four typical cases, which are smooth sphere, rough sphere, cascaded knife-edge and cascaded rounded, according to the irregularities of lunar surface and the obstacle´s shape. For this analysis, the free space transmission loss, the ground proximity loss, diffraction loss and antenna gain are considered. Simulation results showed that the prediction results fit well with the measured data and the cascaded obstacles´ diffraction goes well with the feature of radio propagation. The presented method is very useful for designing wireless communication system over lunar surface.
  • Keywords
    antennas; electromagnetic wave diffraction; electromagnetic wave transmission; lunar surface; radio networks; radiowave propagation; antenna gain; cascaded knife-edge; cascaded rounded; diffraction loss; free space transmission loss; ground proximity loss; lunar surface irregularity; obstacle diffraction; radiowave propagation path loss prediction; rough sphere; smooth sphere; wireless communication system; Diffraction; Moon; Predictive models; Propagation losses; Rough surfaces; Surface roughness; Surface waves; lunar surface; obstacle diffraction; path loss; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976515
  • Filename
    6976515