摘要
依据卡尔曼滤波器在使用最佳增益时,其余差互不相关的性质,提出一种基于陀螺随机漂移ARMA模型的渐消自适应卡尔曼滤波算法,可以有效地得到系统陀螺随机漂移的最优估计,保证误差补偿的精度。
A new fading filter algorithm based on the ARMA model of gyro random drift is presented in this paper. The algorithm adjusts the fading factor adaptively using measured outputs so as to improve the optimality and convergence.
出处
《青岛建筑工程学院学报》
2004年第1期85-88,共4页
Journal of Qingdao Institute of Architecture and Engineering
