• DocumentCode
    2266334
  • Title

    An adaptive α-β tracking filter in mixed coordinate system

  • Author

    Lu-ping, Xu ; Zhi, Chen ; Zhao Ya-e

  • Author_Institution
    Xidian Univ., Xi´´an, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1154
  • Lastpage
    1158
  • Abstract
    Due to the complexity of some algorithms for maneuvering target tracking, an adaptive α-β tracking filter in a mixed coordinate system to track a maneuvering target is introduced. Because the position of constant velocity targets is no longer a linear function of time in a polar system, the pseudo-acceleration is introduced which result in the expense of complexity for α-β tracking filters. In this paper the target model and prediction are given in a rectangular coordinate system, and an adaptive α-β tracking filter is completed in a polar system. The simulation results show that this algorithm requires much lower computational load than the common algorithms such as the IE, VD, and IMM algorithms, while yielding the same accuracy as those
  • Keywords
    adaptive filters; adaptive signal processing; prediction theory; radar tracking; target tracking; tracking filters; IE algorithm; IMM algorithm; Monte Carlo simulation results; VD algorithm; adaptive α-β tracking filter; algorithm complexity; computational load; constant velocity targets; maneuvering target tracking; mixed coordinate system; polar system; pseudo-acceleration; radar system measurement model; rectangular coordinate system; target model; target prediction; Acceleration; Adaptive filters; Adaptive systems; Computational modeling; Coordinate measuring machines; Noise measurement; Nonlinear equations; Nonlinear filters; Predictive models; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2001 CIE International Conference on, Proceedings
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-7000-7
  • Type

    conf

  • DOI
    10.1109/ICR.2001.984915
  • Filename
    984915