An improved Kalman filter algorithm for tightly GNSS/INS integrated navigation system

The Kalman filter based on singular value decomposition (SVD) can sufficiently reduce the accumulation of rounding errors and is widely used in various applications with numerical calculations. However, in order to improve the filtering performance and adaptability in a tightly GNSS/INS (Global Navi...

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Bibliographic Details

Published in:	Mathematical Biosciences and Engineering
Main Authors:	Yuelin Yuan, Fei Li, Jialiang Chen, Yu Wang, Kai Liu
Format:	Article
Language:	English
Published:	AIMS Press 2024-01-01
Subjects:	kalman filter svd tightly coupled gnss/ins navigation covariance matching information filter
Online Access:	https://www.aimspress.com/article/doi/10.3934/mbe.2024040?viewType=HTML