高级检索

    范文兵, 张素贞. 带未知时变噪声的非线性系统卡尔曼滤波器算法研究[J]. 华东理工大学学报(自然科学版), 2003, (3): 299-302.
    引用本文: 范文兵, 张素贞. 带未知时变噪声的非线性系统卡尔曼滤波器算法研究[J]. 华东理工大学学报(自然科学版), 2003, (3): 299-302.
    A Kalman Filter Algorithm for Nonlinear System with Unknown Time-varying Noise[J]. Journal of East China University of Science and Technology, 2003, (3): 299-302.
    Citation: A Kalman Filter Algorithm for Nonlinear System with Unknown Time-varying Noise[J]. Journal of East China University of Science and Technology, 2003, (3): 299-302.

    带未知时变噪声的非线性系统卡尔曼滤波器算法研究

    A Kalman Filter Algorithm for Nonlinear System with Unknown Time-varying Noise

    • 摘要: 针对带有未知时变噪声的非线性系统的状态估计问题,详细研究了基于有限差分和未知时变噪声估计器的扩展Kalman滤波器算法。仿真结果发现,该算法具有滤波精度高,数值计算稳定等优点,但系统状态估计对初始误差较敏感。

       

      Abstract: A kind of noise statistics estimator based on finite difference Kalman filter algorithm, which has been presented for the nonlinear systems with unknown time varying noise, is considered in detail. Simulation results show that the algorithm has high precision and numerical stability, but the estimated states are sensitive to the initial error.

       

    /

    返回文章
    返回