An Adaptive Cubature Kalman Filter Based on Resampling-Free Sigma-Point Update Framework and Improved Empirical Mode Decomposition for INS/CNS Navigation

For the degradation of the filtering performance of the INS/CNS navigation system under measurement noise uncertainty, an adaptive cubature Kalman filter (CKF) is proposed based on improved empirical mode decomposition (EMD) and a resampling-free sigma-point update framework (RSUF). The proposed alg...

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Detalles Bibliográficos

Principais autores:	Yu Ma, Di Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-05-01
Series:	Mathematics
Assuntos:	adaptive Kalman filter INS/CNS navigation measurement noise uncertainty sigma-point update framework empirical mode decomposition
Acceso en liña:	https://www.mdpi.com/2227-7390/12/10/1607
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