• DocumentCode
    691272
  • Title

    Objective Grey Prediction Filtering Algorithm Based on Combined Model

  • Author

    Yang Pu ; Ni Jiangfan ; Li Xiao

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    21-23 Sept. 2013
  • Firstpage
    1721
  • Lastpage
    1725
  • Abstract
    Aimed at the problems of delay and uncertain disturbance of the target miss distance signal of optical tracking system, this paper put forward an objective grey prediction filtering algorithm based on combined model. According to gray forecast theory, we establish the grey forecasting model of the target signal directly, based on the analysis of traditional GM(1, 1) model, we has improved it, and combine it with time series method to establish residual error model of objective grey prediction, so as to constitute combined model, improve the target prediction accuracy effectively. Finally, by doing experiments about comparing the simulated target and actual target, it can be concluded that target prediction filtering method which we proposed is feasible and effective.
  • Keywords
    filtering theory; grey systems; optical tracking; queueing theory; target tracking; GM(1,1) model; combined model; gray forecast theory; objective grey prediction filtering algorithm; optical tracking system; residual error model; target miss distance signal; Accuracy; Analytical models; Data models; Mathematical model; Prediction algorithms; Predictive models; Target tracking; gray forecast theory; optical tracking system; traditional GM model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/IMCCC.2013.380
  • Filename
    6840770