Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment

Robust adaptive Kalman filter for strapdown inertial navigation system dynamic alignment

Abstract The measurement noise covariance R plays a vital role in the Kalman filter (KF) algorithm. Traditionally, a constant R is obtained by experience or experiments. However, the KF cannot achieve optimal estimation using constant R under non‐Gaussian conditions. A robust strategy for adaptive e...

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Bibliographic Details
Main Authors: Bing Zhu, Ding Li, Zuohu Li, Hongyang He, Xing Li
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:IET Radar, Sonar & Navigation
Subjects:
adaptive Kalman filters
inertial navigation
adaptive estimation
measurement errors
measurement uncertainty
Online Access:https://doi.org/10.1049/rsn2.12148

Internet

https://doi.org/10.1049/rsn2.12148

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