【摘要】 为了提高晃动载体的初始对准精度,分别采用了卡尔曼滤波法和H∞滤波法。高斯白噪声和随机晃动的条件下进行两种算法的仿真研究,结果表明,高斯白噪声条件下,两者的滤波效果都很好,但在加入基座周期性晃动时,卡尔曼滤波出现了明显的发散现象,H∞滤波表现出了更好的稳定性。更多还原

【Abstract】 Both Kalman Filter and H∞ Filter are applied to improve the initial alignment accuracy.The two filters are simulated under conditions of white Gaussian noise and periodic rocking base respectively.The results show that both filters work well under white Gaussian noise but there is a obvious divergence phenomenon in Kalman Filter while H∞ Filter remains stable when periodic rocking base noise is added.更多还原