Optimization of acquisition patterns for establishing inter CubeSat optical communications

IF 4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Journal of Optical Communications and Networking Pub Date : 2024-08-01 DOI:10.1364/JOCN.518004
Rene Ruddenklau;Georg Schitter
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Abstract

As commercially available CubeSats with up to six standardized units cannot achieve the precision required for an instantaneous establishment of a low-divergence optical inter-satellite link, search patterns are used to scan the remaining field of uncertainty. This analysis optimizes the simultaneously executed search pattern combinations of the two laser communication terminals involved. Based on a Monte Carlo simulation, the perturbations on these links are investigated, and the corresponding key performance parameters such as mean acquisition time and success rate are calculated. The results are penalized by the hardware specifications, including actuator and sensor bandwidths, given by their design. Residual attitude error components imply a significant influence on the acquisition process and are therefore presented within this work. The pattern pairs are fed through an automated optimization algorithm to tune and analyze them. In this particular scenario of two CubeISL models, the mean duration for a first detected acquisition hit is within a pattern period of 3.2 s for the best performing pairs spiral-rose and lissajous-rose. Assuming an uncertainty field of ${\pm}0.2\;{\rm deg}$ due to limited attitude knowledge, success rates between 82.3% and 99.9% are achieved.
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优化建立立方体卫星间光通讯的采集模式
由于商用立方体卫星最多有六个标准化单元,无法达到瞬时建立低发散光学卫星间链路所需的精度,因此使用搜索模式来扫描剩余的不确定区域。本分析对所涉及的两个激光通信终端同时执行的搜索模式组合进行了优化。基于蒙特卡洛模拟,对这些链路上的扰动进行了研究,并计算了相应的关键性能参数,如平均获取时间和成功率。这些结果受到硬件规格的影响,包括其设计所给出的致动器和传感器带宽。残余姿态误差成分对采集过程有重大影响,因此在本工作中进行了介绍。模式对通过自动优化算法进行调整和分析。在这个由两个 CubeISL 模型组成的特定场景中,对于性能最佳的螺旋-玫瑰和天鹅-玫瑰配对,首次检测到采集命中的平均持续时间在 3.2 秒的模式周期内。由于对姿态的了解有限,假定不确定度为±0.2deg,成功率在 82.3% 到 99.9% 之间。
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来源期刊
CiteScore
9.40
自引率
16.00%
发文量
104
审稿时长
4 months
期刊介绍: The scope of the Journal includes advances in the state-of-the-art of optical networking science, technology, and engineering. Both theoretical contributions (including new techniques, concepts, analyses, and economic studies) and practical contributions (including optical networking experiments, prototypes, and new applications) are encouraged. Subareas of interest include the architecture and design of optical networks, optical network survivability and security, software-defined optical networking, elastic optical networks, data and control plane advances, network management related innovation, and optical access networks. Enabling technologies and their applications are suitable topics only if the results are shown to directly impact optical networking beyond simple point-to-point networks.
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