• DocumentCode
    109744
  • Title

    Trajectory optimisation method by using independent component analysis for MIMO-OTHR target tracking

  • Author

    Yang Luo ; Zhiqin Zhao

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    51
  • Issue
    13
  • fYear
    2015
  • fDate
    6 25 2015
  • Firstpage
    1020
  • Lastpage
    1021
  • Abstract
    Traditional sky-wave over-the-horizon radar (OTHR) target tracking algorithms, such as multipath probabilistic data association, can achieve good performance if the multipath environment clutter is not strong enough. The computation complexity and tracking performance of these algorithms can be further improved by multiple-input multiple-output (MIMO) radar technology owing to its capability to utilise transmitting and receiving diversities. However, multipath propagation is still considered to degrade the performance because of the strong ionosphere and sea clutter. To deal with the interference of strong clutter in a multipath environment, a tracking trajectory optimisation method is proposed by applying the fast and robust fixed-point independent component analysis algorithm which uses the projection pursuit approach to separate clutter and a true target moving trajectory from the received signals. Numerical simulations demonstrate the feasibility of the method, and it also shows that the multipath measurements can be utilised for MIMO-OTHR target tracking.
  • Keywords
    MIMO radar; independent component analysis; optimisation; probability; target tracking; FastICA algorithm; MIMO-OTHR target tracking algorithm; MPDA; fixed-point independent component analysis algorithm; multipath probabilistic data association; multipath propagation; multiple-input multiple-output radar technology; projection pursuit approach; traditional sky-wave over-the-horizon radar target tracking algorithms; trajectory optimisation method;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2015.0225
  • Filename
    7130841