A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions.
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| Title: | A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions. |
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| Authors: | Zhou, Jingsong1,2,3,4 (AUTHOR), Zhang, Hui1,2,3,4 (AUTHOR) hzhang@ioe.ac.cn, Fang, Liang1,2,3,4 (AUTHOR), Gao, Xiaodong1,2,3,4 (AUTHOR), Lu, Kaili1,2,3,4 (AUTHOR), Sun, Wei2,3 (AUTHOR), Zhao, Rujin1,2,3,4 (AUTHOR) |
| Source: | Remote Sensing. Dec2025, Vol. 17 Issue 23, p3853. 27p. |
| Subjects: | Star maps (Astronomy), Coordinate transformations, Energy transfer, Computer performance, Remote sensing devices |
| Abstract: | Highlights: What are the main findings? A comprehensive star map simulation method for airborne All-Time Three-FOV star sensors is proposed, integrating coordinate transformation, energy transfer, and image degradation models. What are the implications of the main findings? The method offers a reliable technical basis for optimizing the design and assessing the performance of airborne All-Time Three-FOV star sensors under dynamic conditions. It enables the validation of star centroid extraction and identification algorithms under controlled disturbance scenarios, reducing dependency on costly and time-consuming real-world stargazing experiments. To address the lack of reliable test data for evaluating star sensor performance in dynamic airborne environments, this paper presents a high-fidelity star map simulation method for all-time three-Field of View (FOV) star sensors. A comprehensive simulation framework integrating stellar radiation, atmospheric transmission, and detector noise models was developed to accurately model star trailing effects under dynamic conditions. First, a stellar position calculation model incorporating atmospheric refraction correction and platform motion parameters was established through coordinate transformations between the Geocentric Celestial Reference System (GCRS) and FOV coordinate system. Next, a complete energy transfer chain was constructed by combining star catalog data, atmospheric radiative properties, and detector noise characteristics. Finally, a quantitative evaluation system was introduced, employing metrics such as signal-to-noise ratio (SNR), total grayscale value (Gtotal), grayscale concentration index (GCI), and dynamic star displacement (DSD). Field experiments at 2388 m altitude (100.23°E, 26.86°N) demonstrated the average relative error of all evaluation metrics below 9% for static conditions and approximately 8% for dynamic scenarios between simulated and real star maps. The method effectively reproduces stellar radiation, atmospheric noise, and dynamic degradation, providing reliable simulation conditions for airborne star sensor testing and star trailing restoration algorithm development. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Highlights: What are the main findings? A comprehensive star map simulation method for airborne All-Time Three-FOV star sensors is proposed, integrating coordinate transformation, energy transfer, and image degradation models. What are the implications of the main findings? The method offers a reliable technical basis for optimizing the design and assessing the performance of airborne All-Time Three-FOV star sensors under dynamic conditions. It enables the validation of star centroid extraction and identification algorithms under controlled disturbance scenarios, reducing dependency on costly and time-consuming real-world stargazing experiments. To address the lack of reliable test data for evaluating star sensor performance in dynamic airborne environments, this paper presents a high-fidelity star map simulation method for all-time three-Field of View (FOV) star sensors. A comprehensive simulation framework integrating stellar radiation, atmospheric transmission, and detector noise models was developed to accurately model star trailing effects under dynamic conditions. First, a stellar position calculation model incorporating atmospheric refraction correction and platform motion parameters was established through coordinate transformations between the Geocentric Celestial Reference System (GCRS) and FOV coordinate system. Next, a complete energy transfer chain was constructed by combining star catalog data, atmospheric radiative properties, and detector noise characteristics. Finally, a quantitative evaluation system was introduced, employing metrics such as signal-to-noise ratio (SNR), total grayscale value (Gtotal), grayscale concentration index (GCI), and dynamic star displacement (DSD). Field experiments at 2388 m altitude (100.23°E, 26.86°N) demonstrated the average relative error of all evaluation metrics below 9% for static conditions and approximately 8% for dynamic scenarios between simulated and real star maps. The method effectively reproduces stellar radiation, atmospheric noise, and dynamic degradation, providing reliable simulation conditions for airborne star sensor testing and star trailing restoration algorithm development. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20724292 |
| DOI: | 10.3390/rs17233853 |
