An Improved Adaptive Kalman Filter for a Single Frequency GNSS/MEMS-IMU/Odometer Integrated Navigation Module

An Improved Adaptive Kalman Filter for a Single Frequency GNSS/MEMS-IMU/Odometer Integrated Navigation Module

Aiming at the GNSS receiver vulnerability in challenging urban environments and low power consumption of integrated navigation systems, an improved robust adaptive Kalman filter (IRAKF) algorithm with real-time performance and low computation complexity for single-frequency GNSS/MEMS-IMU/odometer in...

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Autores principales: Peihui Yan, Jinguang Jiang, Fangning Zhang, Dongpeng Xie, Jiaji Wu, Chao Zhang, Yanan Tang, Jingnan Liu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
integrated navigation
robust adaptive Kalman filter
low computation complexity
real-time performance
single-frequency GNSS/MEMS-IMU/odometer module
low power consumption
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Acceso en línea:https://doaj.org/article/f9be30e817b8419ca1d59ea79c804ab9
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https://doaj.org/article/f9be30e817b8419ca1d59ea79c804ab9

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