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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Bibliographic Details
Main Authors: Peihui Yan, Jinguang Jiang, Fangning Zhang, Dongpeng Xie, Jiaji Wu, Chao Zhang, Yanan Tang, Jingnan Liu
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
integrated navigation
robust adaptive Kalman filter
low computation complexity
real-time performance
single-frequency GNSS/MEMS-IMU/odometer module
low power consumption
Science
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Online Access:https://doaj.org/article/f9be30e817b8419ca1d59ea79c804ab9
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https://doaj.org/article/f9be30e817b8419ca1d59ea79c804ab9

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