| 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)
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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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