摘要:
针对大方位失准角捷联惯性导航系统误差模型非线性的特点,利用基于迭代测量更新的中心差分卡尔曼滤波(iterated central difference Kalman filter, ICDKF)方法进行初始对准。与传统的非线性扩展卡尔曼滤波相比,ICDKF不仅能够提高滤波精度,而且不需要模型的具体解析形式,避免了复杂的雅可比矩阵的推导;同时ICDKF通过迭代测量更新,提高了目前存在的中心差分卡尔曼滤波的估计精度。仿真结果进一步表明ICDKF算法的可行性与优越性,能够满足初始对准的要求。
郝燕玲,牟宏伟,贾鹤鸣. ICDKF在SINS大方位失准角初始对准中的应用[J]. Journal of Systems Engineering and Electronics, 2013, 35(1): 152-155.
HAO Yan-ling, MU Hong-wei, JIA He-ming. Application of ICDKF in initial alignment of large azimuth misalignment in SINS[J]. Journal of Systems Engineering and Electronics, 2013, 35(1): 152-155.