An Adaptive Initial Alignment Algorithm Based on Variance Component Estimation for a Strapdown Inertial Navigation System for AUV

An Adaptive Initial Alignment Algorithm Based on Variance Component Estimation for a Strapdown Inertial Navigation System for AUV

As a typical navigation system, the strapdown inertial navigation system (SINS) is crucial for autonomous underwater vehicles (AUVs) since the SINS accuracy determines the performance of AUVs. Initial alignment is one of the key technologies in SINS, and initial alignment time and initial alignment...

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Bibliographic Details
Main Authors: Qianhui Dong, Yibing Li, Qian Sun, Ya Zhang
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Symmetry
Subjects:
autonomous underwater vehicle (AUV)
strapdown inertial navigation system (SINS)
initial alignment
cubature Kalman filter (CKF)
variance components estimation (VCE)
Online Access:https://www.mdpi.com/2073-8994/9/8/129

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https://www.mdpi.com/2073-8994/9/8/129

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