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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Autores principales: Bing Zhu, Ding Li, Zuohu Li, Hongyang He, Xing Li
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/43fefd99c1724a938b29120ec1298989
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