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就带有混合高斯测量噪声的离散时间系统 ,提出了一种简化的多模型滤波。理论分析证明该滤波方法用较少的计算量得到了与交互多模型滤波相同的估计性能。为满足应用要求 ,给出了该滤波器的数值鲁棒实现方法。一个关于仅有方位测量的制导例子验证了该滤波算法的有效性。
For a discrete-time system with mixed Gaussian measurement noise, a simplified multi-model filter is proposed. Theoretical analysis proves that the proposed filtering method achieves the same estimation performance as the interactive multi-model filtering with less computation. In order to meet the application requirements, a numerical robust implementation of the filter is given. A guidance example on azimuth measurement only validates the effectiveness of this filtering algorithm.