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Adaptive Kalman Filtering: Measurement and Process Noise Covariance Estimation Using Kalman Smoothing

The Kalman filter is one of the best-known and most frequently used methods for dynamic state estimation. In addition to a measurement and state transition model, the Kalman filter requires knowledge about the covariance of the measurement and process noise. However, the noise covariances are mostly...

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Detalles Bibliográficos
Principais autores: Theresa Kruse, Thomas Griebel, Knut Graichen
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2025-01-01
Series:IEEE Access
Assuntos:
Acceso en liña:https://ieeexplore.ieee.org/document/10836673/
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