Volume 48 Issue 4
Apr.  2019
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Xiong Kun, Wang Chunxi, Wu Yue, Wang Kailei, Jiang Yunxiang. Calibration method for multiple FOV star sensors based on three-axis turntable[J]. Infrared and Laser Engineering, 2019, 48(4): 417002-0417002(6). doi: 10.3788/IRLA201948.0417002
Citation: Xiong Kun, Wang Chunxi, Wu Yue, Wang Kailei, Jiang Yunxiang. Calibration method for multiple FOV star sensors based on three-axis turntable[J]. Infrared and Laser Engineering, 2019, 48(4): 417002-0417002(6). doi: 10.3788/IRLA201948.0417002

Calibration method for multiple FOV star sensors based on three-axis turntable

doi: 10.3788/IRLA201948.0417002
  • Received Date: 2018-11-19
  • Rev Recd Date: 2018-12-21
  • Publish Date: 2019-04-25
  • A novel calibration method for multiple FOV star sensors based on three axis turntable was proposed. The method mainly took advantages of the turntable's three rotational freedom degrees to calibrate FOVs of arbitrary directions without reinstalling the sensor. Modeling for laboratory calibration was achieved through optimizing and trimming of the observation model, the structure model and the external parameter model. The observation model parameters of each FOV and the structure model parameters among distinct FOVs were solved by the Levenberg-Marquardt nonlinear least square algorithm. Without the need of outfield star observation in the calibration process of structure model parameters, huge amount of data sampling work load was saved, hence, the estimation error caused by the atmosphere refraction and disturbance phenomena was avoided. The validity of the method was demonstrated by the simulation of a triple FOV digital star sensor and the real experiment of a dual FOV star sensor. Compared to the conventional method that utilizes outfield star observation data, the average angle distance error within single FOV reduces by 20.32%, and the average angle distance error between FOVs reduces by 59.34%.
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    [3] Qiao Peiyu, He Xin, Wei Zhonghui, et al. Calibration of high-accuracy star sensor[J]. Infrared and Laser Engineering, 2012, 41(10):2779-2784. (in Chinese)
    [4] Liu Yu, Dai Dongkai, Fu Sihua, et al. Research on the calibration errors of star sensor intrinsic parameters[J]. Optics Optoelectronic Technology, 2017, 15(6):77-83. (in Chinese)
    [5] Zhang Yao, Wang Hongli, Lu Jinghui, et al. Calibration method of optical errors for star sensor based on particle swarm optimization algorithm[J]. Infrared and Laser Engineering, 2017, 46(10):1017002. (in Chinese)
    [6] Tan Di, Zhang Xin, Wu Yanxiong, et al. Analysis of effect of optical aberration on star centroid location error[J]. Infrared and Laser Engineering, 2017, 46(2):0217004. (in Chinese)
    [7] Guo Jingming, Zhao Jinyu, He Xin, et al. Calibration of installation angle for high accuracy shipboard star sensor[J]. Optics and Precision Engineering, 2016, 24(3):609-615. (in Chinese)
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    [9] Wang Hongli, He Yiyang, Lu Jinghui, et al. Ground calibration method of installation error for star sensor based on three positions method[J]. Infrared and Laser Engineering, 2016, 45(11):1113003. (in Chinese)
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Calibration method for multiple FOV star sensors based on three-axis turntable

doi: 10.3788/IRLA201948.0417002
  • 1. Beijing Aerospace Institute for Metrology and Measurement Technology,Beijing 100076,China

Abstract: A novel calibration method for multiple FOV star sensors based on three axis turntable was proposed. The method mainly took advantages of the turntable's three rotational freedom degrees to calibrate FOVs of arbitrary directions without reinstalling the sensor. Modeling for laboratory calibration was achieved through optimizing and trimming of the observation model, the structure model and the external parameter model. The observation model parameters of each FOV and the structure model parameters among distinct FOVs were solved by the Levenberg-Marquardt nonlinear least square algorithm. Without the need of outfield star observation in the calibration process of structure model parameters, huge amount of data sampling work load was saved, hence, the estimation error caused by the atmosphere refraction and disturbance phenomena was avoided. The validity of the method was demonstrated by the simulation of a triple FOV digital star sensor and the real experiment of a dual FOV star sensor. Compared to the conventional method that utilizes outfield star observation data, the average angle distance error within single FOV reduces by 20.32%, and the average angle distance error between FOVs reduces by 59.34%.

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