• DocumentCode
    2809861
  • Title

    An efficient and low-complexity through wall moving target tracking algorithm by UWB radar

  • Author

    Tan, Kai ; Wu, Shiyou ; Chen, Jie ; Liu, Xiaojun ; Fang, Guangyou

  • Author_Institution
    Inst. of Electron., Key Lab. of Electromagn. Radiat. & Sensing Technol. of Chinese Acad. of Sci., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2012
  • fDate
    4-8 June 2012
  • Firstpage
    966
  • Lastpage
    971
  • Abstract
    Efficient detection and tracking of moving target hidden by walls is of interest for rescue, surveillance and security operations. However, in the process of real-time tracking, there are usually some wrong target locations - noise points in the tracking trajectory. This paper gives a short overview of the complete tracking process with all required phases of radar signal processing. Then the paper focus on the tracking phase and a threshold filter for real-time measurement with low computational complexity is introduced for target tracking. It will be shown by some real data acquired from UWB radar that the use of this new filter can efficiently remove the noise points therefore provide good smoothing of the target trajectory.
  • Keywords
    filtering theory; object detection; radar detection; radar signal processing; radar tracking; remote sensing by radar; ultra wideband radar; UWB radar; computational complexity; low-complexity through wall moving target tracking algorithm; moving target detection; noise points; radar signal processing; real-time measurement; real-time tracking; rescue operation; security operation; surveillance operation; target location; threshold filter; tracking phase; tracking process; tracking trajectory; Noise; Radar tracking; Target tracking; Trajectory; Ultra wideband radar; Wiener filters; UWB radar; moving target tracking; radar signal processing; through wall measurement; tracking filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ground Penetrating Radar (GPR), 2012 14th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-2662-9
  • Type

    conf

  • DOI
    10.1109/ICGPR.2012.6255003
  • Filename
    6255003