2015
DOI: 10.3788/aos201535.0222001
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Research on the Autonomous Star Sensor Based on Indirectly Sensing Horizon and its Optical Design

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Cited by 4 publications
(3 citation statements)
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“…Atmospheric refraction is an important research branch in the field of remote sensing The atmospheric refractive index will affect remote sensing image positioning, space-based laser communication, star sensitive data processing and other applications [1][2][3][4][5] , so domestic and foreign scholars have also analyzed the factors that affect the atmospheric refractive index [6][7][8][9][10] . In reference [1], the authors studied the estimation of stellar refraction based on single band observations.…”
Section: Introductionmentioning
confidence: 99%
“…Atmospheric refraction is an important research branch in the field of remote sensing The atmospheric refractive index will affect remote sensing image positioning, space-based laser communication, star sensitive data processing and other applications [1][2][3][4][5] , so domestic and foreign scholars have also analyzed the factors that affect the atmospheric refractive index [6][7][8][9][10] . In reference [1], the authors studied the estimation of stellar refraction based on single band observations.…”
Section: Introductionmentioning
confidence: 99%
“…The FOV is too small to detect enough refracted stars. Based on the principle of autonomous navigation, Wu et al [7] designed a star sensor working in the visible light band in 2015. Because the number of stars in the H-band is much greater than that in the visible band, Xu and Jiang [8] designed an infrared optical system with an FOV of 4°.…”
Section: Introductionmentioning
confidence: 99%
“…In 2020, Bai et al [10] designed a visible catadioptric star sensor for the satellite with an aperture of 285 mm for lenses, an FOV of 2.8°, and an aperture of 257 mm for mirrors. Because the strong limb background during the day is ignored, the existing star sensors [7][8][9][10] were unable to detect enough refracted stars during the day.…”
Section: Introductionmentioning
confidence: 99%