A New Tracking Algorithm for Strong-Maneuvering Target with Two-Layer Nested Model of CS and CL

Jinshuan Peng, Lei Xu, Li Wang, Xiaoxiang Zhou

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A new tracking algorithm is proposed for strong-maneuvering target, which is based on a two-layer nested model with Improved Current Statistical (ICS) model and Curvilinear (CL) model as the inner and outer layer respectively. The inner layer use ICS model to construct statistics with filtering residuals to detect target's maneuver and thus correcting the parameters of CS model in real time in order to adapt to target's real motion. The outer layer uses the estimate of acceleration obtained from the inner layer as its input and in this way conduct better performance of target tracking by taking advantage of CL model, which can better correspond to the curvilinear motion of target. Simulation results show the practicability of the algorithm proposed in this article and demonstrate good tracking performance.

    Original languageEnglish
    Pages (from-to)325-336
    Number of pages12
    JournalInternational Journal of Control and Automation
    Volume7
    Issue number8
    DOIs
    Publication statusPublished - 2014

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