{"title":"Research on the detection technology of goniometric accuracy of space-based binary stars","authors":"Rui Zhu, Nan Liu, Qiang Fu, Haodong Shi, Liyong Wang, Yingchao Li, Huilin Jiang","doi":"10.1016/j.measurement.2025.118490","DOIUrl":null,"url":null,"abstract":"<div><div>Precise measurement of angular positions in space-based observations is essential for improving the accuracy of target localization and identification. This paper presents an in-depth investigation into the accuracy of space-based binary star goniometry and introduces a polarization imaging technique based on a split focal plane. Leveraging binocular triangulation principles, we establish a theoretical model to evaluate the angular measurement performance of binary star systems. To validate the effectiveness of the proposed split-focal-plane polarization imaging method in enhancing goniometric accuracy, we construct experimental platforms under varying environmental conditions. Objective evaluation methods are employed to compare the angular accuracy of single-star polarization imaging versus single-star visible-light imaging, as well as binary-star polarization imaging versus binary-star visible-light imaging, in both daytime and evening scenarios. Experimental results show that, compared to traditional visible-light imaging, the split-focal-plane polarization imaging technique significantly enhances goniometric accuracy and improves both the probability of spatial target recognition and the precision of localization. This research offers valuable theoretical insight and practical relevance for space science and related applications.</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118490"},"PeriodicalIF":5.6000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125018494","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Precise measurement of angular positions in space-based observations is essential for improving the accuracy of target localization and identification. This paper presents an in-depth investigation into the accuracy of space-based binary star goniometry and introduces a polarization imaging technique based on a split focal plane. Leveraging binocular triangulation principles, we establish a theoretical model to evaluate the angular measurement performance of binary star systems. To validate the effectiveness of the proposed split-focal-plane polarization imaging method in enhancing goniometric accuracy, we construct experimental platforms under varying environmental conditions. Objective evaluation methods are employed to compare the angular accuracy of single-star polarization imaging versus single-star visible-light imaging, as well as binary-star polarization imaging versus binary-star visible-light imaging, in both daytime and evening scenarios. Experimental results show that, compared to traditional visible-light imaging, the split-focal-plane polarization imaging technique significantly enhances goniometric accuracy and improves both the probability of spatial target recognition and the precision of localization. This research offers valuable theoretical insight and practical relevance for space science and related applications.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.