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- W2032149585 abstract "The paper presents a new method of in-flight alignment (IFA) for a strapdown inertial navigation system (SDINS) aided by a super short baseline (SSBL) system under a large initial heading error. To handle the large heading error, a new attitude error model is introduced in which attitude errors are divided into heading and levelling errors using a newly defined horizontal frame. Some navigation error dynamic models are derived from the attitude error model for indirect feedback filtering of the IFA system. A Kalman filter with position measurements is designed to estimate navigation errors as an indirect feedback filter. Simulation results show that the newly developed model works effectively for coarse alignment of a large heading error. The proposed IFA method very quickly decreases the heading error from more than 40° to about 5°." @default.
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- W2032149585 date "2004-01-01" @default.
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- W2032149585 title "Performance improvement of in-flight alignment for autonomous vehicle under large initial heading error" @default.
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- W2032149585 doi "https://doi.org/10.1049/ip-rsn:20030698" @default.
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