Optical System Design Method of Near-Earth Short-Wave Infrared Star Sensor

Wang, Bingwen; Wang, Hongyuan; Mao, Xiaonan; Wu, Shudong; Liao, Zhen; Zang, Yunzhao

doi:10.1109/jsen.2022.3210027

Cited by 10 publications

(8 citation statements)

References 21 publications

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“…w(k, h t ) is the atmospheric limb background radiance data at the tangent height h t . The signal-to-noise ratio (SNR) [16] is shown in equation (8). A signal-to-noise ratio of 5 or more is sufficient for star point extraction:…”

Section: Fov and Limit Magnitudementioning

confidence: 99%

“…The probability P n of at least n refracted stars appearing in the refracted region [25] can be calculated by equation (13). The number of stars in the H-band is much greater than that in the visible band [16]. Therefore, H-band star sensors are better than the visible band to meet the needs of refracted star detection according to equations ( 12) and ( 13):…”

Section: Fov and Limit Magnitudementioning

confidence: 99%

“…From aberration analysis, the spherical aberration, astigmatism, and distortion seriously restrict the FOV of the optical system [27]. According to the third-order aberration coefficients of Seidel [16], it should meet the following equation:…”

Section: Optical System Structurementioning

confidence: 99%

“…In 2005, Microcosm Company [15] designed a near-infrared star sensor, which can observe 7th magnitude stars. In 2021, Wang Bingwen et al proposed an optical system design method for star sensors in the H-band (1.52 lm-1.78 lm) with the catadioptric optical system, an aperture of 200 mm, an FOV of 0.8°, an integration time of 0.35 s, and a focal length of 1174 mm [16]. The baffle is needed to suppress the solar stray light, and the baffle's length is often more than three times the aperture.…”

Section: Introductionmentioning

confidence: 99%

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Optical system design method of the all-day starlight refraction navigation system

Wu,

Wang,

Yan

2023

J. Eur. Opt. Society-Rapid Publ.

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The application of starlight refraction navigation to spacecraft and space weapons is a significant development direction. Observing enough refracted stars for the star sensor in a strong limb background is an urgent problem. The all-day optical system parameters are analyzed based on the star detection requirement and navigation accuracy. Combined with primary aberration theory, the prime-focus catadioptric optical system is selected to meet the design requirements of a wide field of view (FOV) and tight structure. An H-band (1.52um-1.78um) star sensor is designed with a FOV of 6°, a focal length of 831mm, an effective aperture of 253mm, and a relative distortion of 0.03%. The energy concentration of the star point is 85% within 30um, and the maximum lateral chromatic aberration is 2.9um, which meets the imaging requirements. Furthermore, a baffle is designed to avoid the influence of direct sunlight on stellar imaging. The proposed method can provide a theoretical foundation and technical support for the optical design of the refraction star navigation.

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Section: Fov and Limit Magnitudementioning

confidence: 99%

Section: Fov and Limit Magnitudementioning

confidence: 99%

Section: Optical System Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optical system design method of the all-day starlight refraction navigation system

Wu,

Wang,

Yan

2023

J. Eur. Opt. Society-Rapid Publ.

Self Cite

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“…The star sensor is currently known as the most accurate attitude measurement instrument, and it also has the characteristics of no drift and autonomy [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ]. Therefore, the star sensor has been widely used in the field of aerospace navigation [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. However, the attitude update rate (AUR) of the traditional star sensor is usually 4–10 Hz, which is too low to accomplish navigation tasks independently.…”

Section: Introductionmentioning

confidence: 99%

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

Yu,

Qu,

Zhang

2023

Sensors

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A multi-exposure imaging approach proposed in earlier studies is used to increase star sensors’ attitude update rate by N times. Unfortunately, serious noises are also introduced in the star image due to multiple exposures. Therefore, a star centroid extraction method based on Kalman Filter is proposed in this paper. Firstly, star point prediction windows are generated based on centroids’ kinematic model. Secondly, the classic centroid method is used to calculate the coarse centroids of the star points within the prediction windows. Lastly, the coarse centroids are, respectively, processed by each Kalman Filter to filter image noises, and thus fine centroids are obtained. Simulations are conducted to verify the Kalman-Filter-based estimation model. Under noises with zero mean and ±0.4, ±1.0, and ±2.5 pixel maximum deviations, the coordinate errors after filtering are reduced to about 37.5%, 26.3%, and 20.7% of the original ones, respectively. In addition, experiments are conducted to verify the star point prediction windows. Among 100 star images, the average proportion of the number of effective star point objects obtained by the star point prediction windows in the total object number of each star image is calculated as only 0.95%. Both the simulated and experimental results demonstrate the feasibility and effectiveness of the proposed method.

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Infrared remote sensing ship image object detection model based on YOLO In multiple environments

Ge,

Ji,

Liu

2024

SIViP

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Optical System Design Method of Near-Earth Short-Wave Infrared Star Sensor

Cited by 10 publications

References 21 publications

Optical system design method of the all-day starlight refraction navigation system

Optical system design method of the all-day starlight refraction navigation system

A High-Accuracy Star Centroid Extraction Method Based on Kalman Filter for Multi-Exposure Imaging Star Sensors

Infrared remote sensing ship image object detection model based on YOLO In multiple environments

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