• DocumentCode
    130947
  • Title

    A positioning algorithm suitable for UWB radar for life detector

  • Author

    Jiazhi Dong ; Yuwen Wang ; Huawei Bai

  • Author_Institution
    Dept. of Aeronaut. & Astronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    688
  • Lastpage
    693
  • Abstract
    Using the life detector to identify the human´s life characteristic and locate the target position rapidly and accurately are to realize the fundamental guarantee of the search and rescue personnel quickly and effectively at the scene of the fire, earthquake, etc. This paper mainly aimed at how to use Taylor algorithm to achieve the goal of positioning after detected the life signal, we put forward a new algorithm N-Taylor, which improved in selecting the initial value of Taylor algorithm and decreasing the data error of positioning. The final results of N-Taylor are obtained by getting the weighted average between positioning initial and Taylor locating results. Under the large error of NLOS, we carried on three-dimensional simulation experiment, which proved that the N-Taylor is superior to the 1-Taylor, Chan-Taylor and Taylor in the aspects of positioning accuracy and the number of iterations.
  • Keywords
    object detection; radar detection; radio direction-finding; ultra wideband radar; N-Taylor; NLOS; Taylor algorithm; UWB radar; life detector; life signal; positioning accuracy; positioning algorithm; search and rescue personnel; three-dimensional simulation experiment; Accuracy; Base stations; Detectors; Heuristic algorithms; Measurement errors; Radar detection; Ultra wideband radar; UWB radar the life detection Taylor algorithm positioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933661
  • Filename
    6933661