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利用优化参数模型对动平台光电望远镜进行指向误差校正。

Pointing Error Correction for a Moving-Platform Electro-Optical Telescope Using an Optimized Parameter Model.

机构信息

Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.

School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2023 Apr 20;23(8):4121. doi: 10.3390/s23084121.

Abstract

This paper proposes a new optimized parameter model that enhances the pointing accuracy of moving-platform electro-optical telescopes (MPEOTs). The study begins by comprehensively analyzing the error sources, including the telescope and the platform navigation system. Next, a linear pointing correction model is established based on the target positioning process. To eliminate multicollinearity, stepwise regression is applied to obtain the optimized parameter model. The experimental results show that the MPEOT corrected by this model outperforms the mount model, with pointing errors of less than 50 arcsec for approximately 23 h. In the three tests conducted, the modified azimuth error(s) (RMS) were 14.07″, 12.71″, and 28.93″, and the elevation error(s) (RMS) were 12.94″, 12.73″, and 28.30″, respectively.

摘要

本文提出了一种新的优化参数模型,以提高动平台光电望远镜(MPEOT)的指向精度。研究首先全面分析了误差源,包括望远镜和平台导航系统。然后,基于目标定位过程建立了线性指向校正模型。为了消除多重共线性,应用逐步回归得到了优化的参数模型。实验结果表明,该模型校正后的 MPEOT 优于安装模型,大约 23 小时内的指向误差小于 50 角秒。在进行的三次测试中,修正方位误差(RMS)分别为 14.07″、12.71″和 28.93″,修正仰角误差(RMS)分别为 12.94″、12.73″和 28.30″。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0138/10147074/75d38efc1bad/sensors-23-04121-g001.jpg

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