Global estimation method based on least square fitting for distributed POS

被引：0
|
作者：
Ye W. [1 ]
Liu Y. [2 ]
Wang B. [2 ]
Cai C. [1 ]
Li J. [2 ]
机构：
[1] Institute of Mechanics and Acoustics, National Institute of Metrology, Beijing
[2] School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Distributed Position and Orientation System (POS); Inertial Measurement Unit (IMU); Kalman Filter (KF); Least square fitting; Transfer alignment;
D O I：
10.13700/j.bh.1001-5965.2019.0345
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
Aimed at the problem that it is impossible to install high-precision sub-Inertial Measurement Unit (IMU) on every sub-array in engineering practice, a global estimation method based on the least square fitting for distributed Position and Orientation System (POS) is proposed. Firstly, a transfer alignment error model from master system to slave system considering one-dimensional flexibility deformation is built. Secondly, Kalman Filter (KF) is used to estimate motion parameters of array antenna of the sub-arrays with sub-IMUs. Finally, the least square fitting is used to estimate the motion parameters of the sub-arrays without sub-IMU. The semi-physical simulation results show that the proposed method can realize the global estimation of the motion parameters of array antenna, and the estimation precision of the motion parameters of sub-arrays without sub-IMU is almost the same as that of its neighboring sub-arrays. © 2020, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：862 / 869
页数：7
相关论文
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