One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS
To solve the problem of high-precision and fast initial alignment for the Strapdown Inertial Navigation System (SINS) under both dynamic and static conditions, the high-precision attitude measured by the celestial navigation system (CNS) is used as the reference information for the initial alignment...
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MDPI AG
2022-07-01
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Online Access: | https://www.mdpi.com/1424-8220/22/14/5123 |
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author | Jun Tang Hongwei Bian Heng Ma Rongying Wang |
author_facet | Jun Tang Hongwei Bian Heng Ma Rongying Wang |
author_sort | Jun Tang |
collection | DOAJ |
description | To solve the problem of high-precision and fast initial alignment for the Strapdown Inertial Navigation System (SINS) under both dynamic and static conditions, the high-precision attitude measured by the celestial navigation system (CNS) is used as the reference information for the initial alignment. The alignment algorithm is derived in the Earth-centered inertial (ECI) frame. Compared with the alignment algorithm in the navigation frame, it is independent of position parameters and avoids the influence of the approximate error caused by the dynamic deflection angle. In addition, hull deformation is considered in attitude optimal estimation, which can realize initial the alignment of the SINS installed in various parts of the carrier. On this basis, the velocity measurement information is added to the alignment process, which further improves the accuracy and speed of the initial alignment under static conditions. The experimental results show that the algorithms proposed in this paper have better performance in alignment accuracy, speed, and stability. The attitude and velocity matching algorithm in the ECI frame can achieve alignment accuracy better than 0.6′. The attitude matching algorithm in the ECI frame has better robustness and can be used for both dynamic and static conditions, which can achieve alignment accuracy better than 1.3′. |
first_indexed | 2024-03-09T05:58:36Z |
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language | English |
last_indexed | 2024-03-09T05:58:36Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
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spelling | doaj.art-bae0ae11ee09432b9ccb464485802d882023-12-03T12:12:06ZengMDPI AGSensors1424-82202022-07-012214512310.3390/s22145123One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNSJun Tang0Hongwei Bian1Heng Ma2Rongying Wang3The Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, ChinaThe Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, ChinaThe Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, ChinaThe Department of Navigation Engineering, Naval University of Engineering, Wuhan 430033, ChinaTo solve the problem of high-precision and fast initial alignment for the Strapdown Inertial Navigation System (SINS) under both dynamic and static conditions, the high-precision attitude measured by the celestial navigation system (CNS) is used as the reference information for the initial alignment. The alignment algorithm is derived in the Earth-centered inertial (ECI) frame. Compared with the alignment algorithm in the navigation frame, it is independent of position parameters and avoids the influence of the approximate error caused by the dynamic deflection angle. In addition, hull deformation is considered in attitude optimal estimation, which can realize initial the alignment of the SINS installed in various parts of the carrier. On this basis, the velocity measurement information is added to the alignment process, which further improves the accuracy and speed of the initial alignment under static conditions. The experimental results show that the algorithms proposed in this paper have better performance in alignment accuracy, speed, and stability. The attitude and velocity matching algorithm in the ECI frame can achieve alignment accuracy better than 0.6′. The attitude matching algorithm in the ECI frame has better robustness and can be used for both dynamic and static conditions, which can achieve alignment accuracy better than 1.3′.https://www.mdpi.com/1424-8220/22/14/5123initial alignmentmisalignment angleattitude measurementSINSCNS |
spellingShingle | Jun Tang Hongwei Bian Heng Ma Rongying Wang One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS Sensors initial alignment misalignment angle attitude measurement SINS CNS |
title | One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS |
title_full | One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS |
title_fullStr | One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS |
title_full_unstemmed | One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS |
title_short | One-Step Initial Alignment Algorithm for SINS in the ECI Frame Based on the Inertial Attitude Measurement of the CNS |
title_sort | one step initial alignment algorithm for sins in the eci frame based on the inertial attitude measurement of the cns |
topic | initial alignment misalignment angle attitude measurement SINS CNS |
url | https://www.mdpi.com/1424-8220/22/14/5123 |
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