• DocumentCode
    3022262
  • Title

    Estimation of area of uncertainty for moving target tracking

  • Author

    Sun Ning

  • Author_Institution
    Jiangsu Autom. Res. Inst., Lianyungang, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    947
  • Lastpage
    951
  • Abstract
    On the assumption that measurement errors of range and bearing are zero-mean and Gaussian distributed, a method of estimating the moving target´s likely position or AOU(Area Of Uncertainty) is presented based on the estimation of motion parameters. It exploits least square method to estimate the error of initial location vector and displacement vector. Through vectors synthesis of two kind of location error, precise expressions of confidence ellipse have been derived with 2-dimentional joint probability density function. Quantitative description of confidence probability for AOU has been made. The simulation result reveals that AOU can be precisely represented by the confidence ellipses. Presented approach and obtained results may be useful in underwater target tracking and command decision-making application.
  • Keywords
    Gaussian distribution; least squares approximations; measurement errors; target tracking; 2-dimentional joint probability density function; Gaussian distribution; command decision-making application; confidence ellipse; confidence probability; displacement vector; initial location vector; least square method; measurement errors; motion parameter estimation; moving target tracking; uncertainty area estimation; underwater target tracking; vectors synthesis; zero-mean; Estimation; Gaussian distribution; Measurement errors; Simulation; Target tracking; Vectors; 2-dimentional normal distribution; Area of uncertainty; confidence ellipses; principal of least-squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885196
  • Filename
    6885196