Volume 49 Issue S1
Sep.  2020
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Zhang Chengyu, Yuan Li, Wang Li, Wu Yanpeng, Wang Miaomiao. Design of image detector pixel geometric offset calibration method[J]. Infrared and Laser Engineering, 2020, 49(S1): 20200135. doi: 10.3788/IRLA20200135
Citation: Zhang Chengyu, Yuan Li, Wang Li, Wu Yanpeng, Wang Miaomiao. Design of image detector pixel geometric offset calibration method[J]. Infrared and Laser Engineering, 2020, 49(S1): 20200135. doi: 10.3788/IRLA20200135

Design of image detector pixel geometric offset calibration method

doi: 10.3788/IRLA20200135
  • Received Date: 2020-04-01
  • Rev Recd Date: 2020-05-07
  • Publish Date: 2020-09-22
  • In order to reduce the measurement errors of space attitude measuring instruments such as the star trackers, and improve the centroid accuracy of star point, a calibration method based on the phase-shifting interferometry principle was proposed, by studying the influence of the image detector's pixels geometric offset on the centroid accuracy of star point. The simulation model of image detector based on the properties of pixel response nonuniformity with pixels geometric offset was built, and the star centroid calculation was carried out in simulation. The simulation results proved that the pixels geometric offset of the image detector would produce parts of systematic errors to the centroid accuracy of star point. The image-detector pixel calibration results showed that under the condition of adding pixels geometric offset with the RMS value of 0.03 pixels and the 5% Gaussian white noise in the amplitude ratio, the calibration accuracy of the image detector pixel calibration method was better than 3×10-4 pixel(1σ). The research results turned to be a feasible scheme for the calibration technology of the pixels geometric offset of image detector, and had great significance to improve the measuring accuracy of attitude measuring instruments such as the star trackers.
  • [1] Wei Xinguo, Xu Jia, Zhang Guangjun. S-curve error compensation of centroiding location for star sensors[J]. Optics and Precision Engineering, 2013, 21(4):849-857. (in Chinese)魏新国, 徐佳, 张广军. 星敏感器质心定位的S曲线误差补偿[J]. 光学精密工程, 2013, 21(4):849-857.
    [2] Jin Yan, Jiang Jie, Zhang Guangjun. Subdivided locating method of image for star sensor[J]. Infrared and Laser Engineering, 2011, 40(11):2281-2285. (in Chinese)金雁, 江洁, 张广军. 高动态星体目标提取方法[J]. 红外与激光工程, 2011, 40(11):2281-2285.
    [3] Li Jian, Zhang Guangjun, Wei Xinguo. Modeling and accuracy analysis for multiple heads star tracker[J]. Infrared and Laser Engineering, 2015, 44(4):1223-1228. (in Chinese)李健, 张广军, 魏新国. 多视场星敏感器数学模型与精度分析[J]. 红外与激光工程, 2015, 44(4):1223-1228.
    [4] Van B, Daniel S, Phil B, et al. Flight performance of the spitzer space telescope AST-301 autonomous star tracker[C]//Guidance & Control, 2005:447-466.
    [5] Shaklan S B, Sharman M. Pravdo S H. High-precision measurement of pixel positions in a charge-coupled device[J]. Applied Optics, 1995, 34(29):6672-6681.
    [6] Nemati B, Shaklan S, Michael S. Neat:a microarcsec astrometric telescope[C]//Techniques and Instrumentation for Detection of Exoplanets V, 2011, 8151:81510V.
    [7] Crouzier A, Malbet F, Preis O, et al. An experimental testbed for NEAT to demonstrate micro-pixel accuracy[C]//SPIE, International Society for Optics and Photonics, 2012, 8445:926147.
    [8] Cao Yang, Li Baoquan, Li Haitao, et al. Pixel displacement effects on centroid position accuracy[J]. Infrared and Laser Engineering, 2016, 45(12):1217007. (in Chinese)曹阳, 李保权, 李海涛, 等. 像素位置偏移对质心定位精度的影响[J]. 红外与激光工程, 2016, 45(12):1217007.
    [9] Liu Liting, Shen Lianguan, Zhao Wei, et al. Experiment on manufacturing error of photo-resist model based on UV lithography[J]. Nanotechnology and Precision Engineering, 2008, 6(6):430-436. (in Chinese)刘雳颋, 沈连婠, 赵玮, 等. 紫外光刻加工误差实验[J]. 纳米技术与精密工程, 2008, 6(6):430-436.
    [10] Zhang Xinyu, Hao Yuncai. Analysis of the star image energy distribution mathematical model and its effect on the accuracy for a star tracker[J]. Aerospace Control and Application, 2013, 39(3):14-17. (in Chinese)张新宇,郝云彩. 星敏感器星点能量分布数学模型及其对精度的影响分析[J]. 空间控制技术与应用, 2013, 39(3):14-17.
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Design of image detector pixel geometric offset calibration method

doi: 10.3788/IRLA20200135
  • 1. Beijing Institute of Control Engineering, Beijing 100190, China;
  • 2. Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China

Abstract: In order to reduce the measurement errors of space attitude measuring instruments such as the star trackers, and improve the centroid accuracy of star point, a calibration method based on the phase-shifting interferometry principle was proposed, by studying the influence of the image detector's pixels geometric offset on the centroid accuracy of star point. The simulation model of image detector based on the properties of pixel response nonuniformity with pixels geometric offset was built, and the star centroid calculation was carried out in simulation. The simulation results proved that the pixels geometric offset of the image detector would produce parts of systematic errors to the centroid accuracy of star point. The image-detector pixel calibration results showed that under the condition of adding pixels geometric offset with the RMS value of 0.03 pixels and the 5% Gaussian white noise in the amplitude ratio, the calibration accuracy of the image detector pixel calibration method was better than 3×10-4 pixel(1σ). The research results turned to be a feasible scheme for the calibration technology of the pixels geometric offset of image detector, and had great significance to improve the measuring accuracy of attitude measuring instruments such as the star trackers.

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