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Citation: YE Wen, LIU Yanhong, WANG Bo, et al. Global estimation method based on least square fitting for distributed POS[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(5): 862-869. doi: 10.13700/j.bh.1001-5965.2019.0345(in Chinese)

Global estimation method based on least square fitting for distributed POS

doi: 10.13700/j.bh.1001-5965.2019.0345
Funds:

National Key R & D Program of China 2017YFF0205003

National Natural Science Foundation of China 61901431

National Natural Science Foundation of China 61421063

National Natural Science Foundation of China 61722103

National Natural Science Foundation of China 61571030

National Natural Science Foundation of China 51605461

More Information
  • Corresponding author: YE Wen, E-mail: liu1253891321@163.com
  • Received Date: 28 Jun 2019
  • Accepted Date: 20 Sep 2019
  • Publish Date: 20 May 2020
  • 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.

     

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