Fault Identification Ability of a Robust Deeply Integrated GNSS/INS System Assisted by Convolutional Neural Networks

Fault Identification Ability of a Robust Deeply Integrated GNSS/INS System Assisted by Convolutional Neural Networks

The problem of fault propagation which exists in the deeply integrated GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System) system makes it difficult to identify faults. Once a fault occurs, system performance will be degraded due to the inability to identify and isolate the fa...

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Bibliographic Details
Main Authors: Xiaojun Zou, Baowang Lian, Peng Wu
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
deep GNSS/INS integration
fault identification
convolutional neural network
vector tracking loop
Online Access:https://www.mdpi.com/1424-8220/19/12/2734

Internet

https://www.mdpi.com/1424-8220/19/12/2734

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