{"title":"A Self-Calibration Method for Installation Errors in IMU/Polarization Compass/Celestial Navigation System","authors":"Shanpeng Wang, Jian Yang, Xin Liu","doi":"10.1109/ISAS59543.2023.10164331","DOIUrl":null,"url":null,"abstract":"Accurate calibration of installation errors is of paramount importance for achieving high-performance in integrated navigation systems. In this paper, a self-calibration method for addressing installation errors in an integrated inertial/polarization/celestial navigation system is proposed. The method utilizes the information from gravity, polarized E-vector, and sun to establish constrained relationship between the multiple vectors. By employing a nonlinear least squares method, the installation parameters are iteratively determined. The effectiveness of the proposed method is demonstrated through comprehensive simulation tests. The results reveal that the method achieves improved accuracy and robustness in estimating installation errors.","PeriodicalId":199115,"journal":{"name":"2023 6th International Symposium on Autonomous Systems (ISAS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Symposium on Autonomous Systems (ISAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAS59543.2023.10164331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate calibration of installation errors is of paramount importance for achieving high-performance in integrated navigation systems. In this paper, a self-calibration method for addressing installation errors in an integrated inertial/polarization/celestial navigation system is proposed. The method utilizes the information from gravity, polarized E-vector, and sun to establish constrained relationship between the multiple vectors. By employing a nonlinear least squares method, the installation parameters are iteratively determined. The effectiveness of the proposed method is demonstrated through comprehensive simulation tests. The results reveal that the method achieves improved accuracy and robustness in estimating installation errors.
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