Volume 46 Issue 7
Aug.  2017
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Hu Xiongchao, Mao Xiaonan, Wu Yongkang, Yan Xiaojun, Yu Luwei, Wang Zhaolong. Pixel frequency error compensation method based on sub-pixel coordinates[J]. Infrared and Laser Engineering, 2017, 46(7): 717006-0717006(6). doi: 10.3788/IRLA201746.0717006
Citation: Hu Xiongchao, Mao Xiaonan, Wu Yongkang, Yan Xiaojun, Yu Luwei, Wang Zhaolong. Pixel frequency error compensation method based on sub-pixel coordinates[J]. Infrared and Laser Engineering, 2017, 46(7): 717006-0717006(6). doi: 10.3788/IRLA201746.0717006

Pixel frequency error compensation method based on sub-pixel coordinates

doi: 10.3788/IRLA201746.0717006
  • Received Date: 2016-11-05
  • Rev Recd Date: 2016-12-03
  • Publish Date: 2017-07-25
  • A pixel frequency error compensation method of star sensor was introduced in detail, and the compensation effect was verified by the experimental data. At first, based on threshold segmentation algorithm for star extraction, the main reasons of pixel frequency error were analyzed. Then, the original point spread function of centroid location was improved and a pixel frequency error compensation method based on sub-pixel coordinates was proposed. Last, through the micro-pace experiment of star sensor, it was compared with sine curve method. Experimental results show that:in the center of the field of view, the pixel frequency error of the sampling point is reduced by 65.2% using this method, which is better than 52.7% of the sine curve method; using the error compensation formula of the field of view to compensate for the sampling point of the field of view, the pixel frequency error is reduced by 58.7%, which is better than 41.9% of the sine curve method. By the experimental results, compared with sine curve, this error correction method not only has better error compensation effect, but also has strong versatility within the field of view.
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    [2] Jia Hui, Yang Jiankun, Li Xiujian, et al. Systematic error analysis and compensation for high accuracy star centroid estimation of star tracker[J]. Sci China:Tech Sci, 2011, 41(1):69-76. (in Chinese)贾辉, 杨建坤, 李修建, 等. 星敏感器高精度星点提取系统误差分析及补偿方法研究[J]. 中国科学:技术科学, 2011, 41(1):69-76.
    [3] Jiang Liang, Zhang Yu, Zhang Liguo, et al. Effect of point spread functions on star centroid error analysis[J]. Infrared and Laser Engineering, 2015, 44(11):3437-3445. (in Chinese)姜亮, 张宇, 张立国, 等. 点扩散函数对星点提取误差分析的影响[J]. 红外与激光工程, 2015, 44(11):3437-3445.
    [4] Zhi Shuai, Zhang Liu, Li Xinlu. Realization of simulated star map with noise[J]. Chinese Optics, 2014, 4(4):581-587. (in Chinese)支帅, 张刘, 李欣璐. 带噪声模拟仿真星图的实现[J]. 中国光学, 2014, 4(4):581-587.
    [5] Li Jie, Guo Pan, Wang Chunzhe. Application of shearlet transform in the star extraction[J]. Chinese Optics, 2015, 3(3):386-393. (in Chinese)李杰, 郭盼, 王春哲. 剪切波变换在星点提取中的应用[J]. 中国光学, 2015, 3(3):386-393.
    [6] Wang Haiyong, Fei Zhenghong, Wang Xinlong. Precise simulation of star spots and centroid calculation based on Gaussian distribution[J]. Opt Precision Eng, 2009, 17(7):1672-1677. (in Chinese)王海涌, 费峥红, 王新龙. 基于高斯分布的星点精确模拟及质心计算[J]. 光学精密工程, 2009, 17(7):1672-1677.
    [7] Yang Jun, Zhang Tao, Song Jingyan, et al. High accuracy error compensation algorithm for star image sub-pixel subdivision location[J]. Opt Precision Eng, 2010, 18(4):1002-1010. (in Chinese)杨君, 张涛, 宋靖雁, 等. 星点质心亚像元定位的高精度误差补偿方法[J]. 光学精密工程, 2010, 18(4):1002-1010.
    [8] Tang Shengjin, Guo Xiaosong, Zhou Zhaofa. Modified systematic error conpensation algorithm for star centroid sub-pixel detection[J]. Infrared and Laser Engineering, 2013, 42(6):1502-1507. (in Chinese)唐圣金, 郭晓松, 周召发. 星点亚像元定位中系统误差的改进补偿方法[J].红外与激光工程, 2013, 42(6):1502-1507.
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Pixel frequency error compensation method based on sub-pixel coordinates

doi: 10.3788/IRLA201746.0717006
  • 1. Shanghai Institute of Spaceflight Control Technology,Shanghai 201109,China;
  • 2. Research and Development Center of Infrared Detection Technology,China Aerospace Science and Technology Corporation,Shanghai 201109,China

Abstract: A pixel frequency error compensation method of star sensor was introduced in detail, and the compensation effect was verified by the experimental data. At first, based on threshold segmentation algorithm for star extraction, the main reasons of pixel frequency error were analyzed. Then, the original point spread function of centroid location was improved and a pixel frequency error compensation method based on sub-pixel coordinates was proposed. Last, through the micro-pace experiment of star sensor, it was compared with sine curve method. Experimental results show that:in the center of the field of view, the pixel frequency error of the sampling point is reduced by 65.2% using this method, which is better than 52.7% of the sine curve method; using the error compensation formula of the field of view to compensate for the sampling point of the field of view, the pixel frequency error is reduced by 58.7%, which is better than 41.9% of the sine curve method. By the experimental results, compared with sine curve, this error correction method not only has better error compensation effect, but also has strong versatility within the field of view.

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