• DocumentCode
    1846137
  • Title

    Estimating ultraviolet warning distance of approaching missiles based on atmosphere model

  • Author

    Kou Jinfeng ; Xiao Yang

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    26
  • Lastpage
    30
  • Abstract
    A new algorithm to estimate ultraviolet (UV) warning distance of approaching missiles is proposed. Based on atmosphere model, the proposed method uses LOWTRAN7 to calculate related atmospheric transmittance and finally converts the problem of estimating UV warning distance to that of searching optimal solution of corresponding nonlinear equation. A specific application example is also given in following text to illustrate the calculating process. Besides, in order to reduce the amount of calculation, four interpolation methods as well as comparison between them are also provided in the last part of this example. There are several factors that can affect warning distance: the angle between observing direction, missile flying direction and atmospheric transmittance. In this paper, we take into account of all of them, especially atmospheric transmittance. Many factors, such as altitude, distance, solar zenith angle and atmosphere visibility, are considered comprehensively when calculating atmospheric transmittance by LOWTRAN7. Based on practical situations, our method is of great practical significance and is relatively simple at the same time.
  • Keywords
    distance measurement; interpolation; missiles; nonlinear equations; LOWTRAN7; atmosphere model; atmospheric transmittance; interpolation method; missile flying direction; nonlinear equation; ultraviolet warning distance estimation; atmosphere transmittance; interpolation; optimal solution; ultraviolet missile warning system; warning distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491650
  • Filename
    6491650