A state-dependent extended Kalman filter (EKF) algorithm is proposed for bearing-only slow target tracking when the relative height between the observer and the target is unknown. Firstly, we establish the bearing-only target tracking model with unknown relative altitude. Secondly, we study the vinculum between the relative altitude and the target status and present a new Gauss-Helmert state transition model. The Gauss-Newton method is used to predict the state since the Gauss-Helmert model is nonlinear. Finally, we use EKF algorithm to jointly reckon the target location and the relative height. Compared with the augmented EKF algorithm, The algorithm proposed in this paper can predict the unknown state vector accurately.From the simulation result,the proposed state-dependent EKF algorithm has faster convergence speed and higher tracking accuracy.


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    Titel :

    Bearing-Only Ground Slow Target Localization with Unknown Relative Altitude


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Luo, Ji-An (Autor:in) / Song, Liang-Sheng (Autor:in) / Peng, Dong-Liang (Autor:in)


    Erscheinungsdatum :

    30.10.2021


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Luo, Ji-An / Song, Liang-Sheng / Peng, Dong-Liang | TIBKAT | 2022


    Optimal Observer Trajectories for Passive Target Localization Using Bearing-Only Measurements

    Oshman, Y. / Davidson, P. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 1996


    Optimal Observer Trajectories for Passive Target Localization Using Bearing-Only Measurements

    Oshman, Y. / Davidson, P. / Israel Society of Aeronautics and Astronautics | British Library Conference Proceedings | 1996