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Research on SINS Alignment Algorithm Based on FIR Filters

机译:基于FIR滤波器的捷联惯导对准算法研究

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摘要

An inertial frame based alignment (IFBA) method is presented, especially for the applications on a rocking platform, e.g., marine applications. Defining the initial body frame as the inertial frame, the IFBA method achieves the alignment by virtue of a cascade of low-pass FIR filters, which attenuate the disturbing acceleration and maintain the gravity vector. The aligning time rests with the orders of the FIR filter group, and the method is suitable for large initial misalignment case. An alignment scheme comprising a coarse phase by the IFBA method and a fine phase by a Kalman filter is presented. Both vehicle-based and ship-based alignment experiments were carried out. The results show that the proposed scheme converges much faster than the traditional method at no cost of precision and also works well under any large initial misalignment.
机译:提出了一种基于惯性框架的对准(IFBA)方法,特别是针对摇摆平台上的应用,例如海洋应用。 IFBA方法将初始的人体框架定义为惯性框架,并通过级联的低通FIR滤波器实现了对齐,从而降低了干扰加速度并保持了重力矢量。对准时间取决于FIR滤波器组的阶数,该方法适用于初始偏差较大的情况。提出了一种对准方案,该对准方案包括通过IFBA方法的粗相和通过卡尔曼滤波器的细相。进行了基于车辆和基于舰船的对准实验。结果表明,所提出的方案收敛速度比传统方法快得多,且不影响精度,并且在任何较大的初始失准情况下也能很好地工作。

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