用GPS和陀螺确定姿态的滤波器设计:频域方法

Y. Chiang, T. -. Wu, F. Chang, L. Wang
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引用次数: 0

摘要

提出了一种将GPS和陀螺测量相结合的恒增益估计器,用于飞行器姿态确定。通过频域方法,采用一对高通和低通滤波器。对于GPS和陀螺仪误差,我们利用功率谱密度(PSD)特性来选择截止频率。一旦确定了这些值,我们就可以得到相关的卡尔曼增益。由于陀螺的PSD规格由设备制造商提供,卡尔曼增益可以提前设计。减少了传统卡尔曼算法中不可避免的在线计算负担,使我们的算法适用于实际系统。软件仿真结果表明,所提出的滤波器是合理有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Filter design for attitude determination using GPS and gyro: frequency domain approach
A constant gain estimator is proposed to integrate the GPS and gyro measurements for aircraft attitude determination. Through frequency domain approach, a pair of high pass and low pass filters are employed. Concerning GPS and gyros errors, we apply power spectral density (PSD) properties to select the cut-off frequencies. Once these values are determined, we can derive the associated Kalman gains. Since the PSD specifications of gyros are provided by equipment manufactory, the Kalman gains can be designed in advance. The reduction of the burdens of online computations, which are unavoidable in the traditional Kalman, make our algorithms suitable for real systems. From the assessment of software simulations, the proposed filter is sound and effective.
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