• DocumentCode
    567717
  • Title

    Tracking of extended object or target group using random matrix — Part I: New model and approach

  • Author

    Lan, Jian ; Li, X. Rong

  • Author_Institution
    Center for Inf. Eng. Sci. Res., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    2177
  • Lastpage
    2184
  • Abstract
    The approach of using a random matrix for extended object and group target tracking (EOT and GTT) is efficient. Designing and effectively applying this approach rely on modeling the extended object and group targets accurately. To describe complex dynamical variation and practical observation distortion of the extension in size, shape and orientation, two random matrix based models are proposed. True measurement noise can also be incorporated into the measurement model easily. Facilitated by special properties of the models, an approximate Bayesian approach is proposed to estimate the kinematic state and the extension jointly. For maneuvering EOT and GTT, a multiple-model approach is derived by moment matching. To evaluate what is proposed, simulation results of a scenario for maneuvering EOT are also given. The results illustrate the effectiveness of the proposed models and approach.
  • Keywords
    Bayes methods; matrix algebra; target tracking; Bayesian approach; extended object tracking; group target tracking; kinematic state estimation; measurement model; measurement noise; moment matching; random matrix; Bayesian methods; Covariance matrix; Estimation; Noise; Noise measurement; Shape; Target tracking; Bayesian Approach; Extended Object; Group Target; Multiple-Model Approach; Random Matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6290568