Enhanced Redundant Measurement-Based Kalman Filter for Measurement Noise Covariance Estimation in INS/GNSS Integration

Adaptive Kalman filters (AKF) have been widely applied to the inertial navigation system (INS)/global navigation satellite system (GNSS) integrated navigation system. However, the traditional AKF methods suffer from the problems of filtering instability or covariance underestimation, especially when...

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Detalhes bibliográficos

Principais autores:	Baoshuang Ge, Hai Zhang, Wenxing Fu, Jianbing Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-10-01
coleção:	Remote Sensing
Assuntos:	adaptive Kalman filter INS/GNSS integrated system kernel density estimation (KDE) measurement noise covariance estimation
Acesso em linha:	https://www.mdpi.com/2072-4292/12/21/3500
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