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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Detalhes bibliográficos
Main Authors: Bing Zhu, Ding Li, Zuohu Li, Hongyang He, Xing Li
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2021-12-01
Colecção:IET Radar, Sonar & Navigation
Assuntos:
adaptive Kalman filters
inertial navigation
adaptive estimation
measurement errors
measurement uncertainty
Acesso em linha:https://doi.org/10.1049/rsn2.12148
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