An Optimal Radial Basis Function Neural Network Enhanced Adaptive Robust Kalman Filter for GNSS/INS Integrated Systems in Complex Urban Areas

An Optimal Radial Basis Function Neural Network Enhanced Adaptive Robust Kalman Filter for GNSS/INS Integrated Systems in Complex Urban Areas

Inertial Navigation System (INS) is often combined with Global Navigation Satellite System (GNSS) to increase the positioning accuracy and continuity. In complex urban environments, GNSS/INS integrated systems suffer not only from dynamical model errors but also GNSS observation gross errors. Howeve...

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Bibliographic Details
Main Authors: Yipeng Ning, Jian Wang, Houzeng Han, Xinglong Tan, Tianjun Liu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
GNSS/INS
dynamical model error
observation gross error
fault detection
optimal RBF neural network
adaptive robust filtering
Online Access:http://www.mdpi.com/1424-8220/18/9/3091

Internet

http://www.mdpi.com/1424-8220/18/9/3091

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