The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration

For the integration of global navigation satellite system (GNSS) and inertial navigation system (INS), real-time and accurate fault detection is essential to enhance the reliability and precision of the system. Among the existing methods, the residual chi-square detection is still widely used due to...

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Main Authors: Chuang Zhang, Xiubin Zhao, Chunlei Pang, Liang Zhang, Bo Feng
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/9/2147
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spelling doaj-c4f6a201e1c64a749cf078d667f1012b2020-11-25T02:07:59ZengMDPI AGSensors1424-82202019-05-01199214710.3390/s19092147s19092147The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS IntegrationChuang Zhang0Xiubin Zhao1Chunlei Pang2Liang Zhang3Bo Feng4Information and Navigation College, Air Force Engineering University, Xi’an 710077, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an 710077, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an 710077, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an 710077, ChinaEquipment Management and Unmanned Aerial Vehicle Engineering College, Air Force Engineering University, Xi’an 710051, ChinaFor the integration of global navigation satellite system (GNSS) and inertial navigation system (INS), real-time and accurate fault detection is essential to enhance the reliability and precision of the system. Among the existing methods, the residual chi-square detection is still widely used due to its good real-time performance and sensibility of fault detection. However, further investigation on the performance of fault detection for different observational conditions and fault models is still required. In this paper, the principle of chi-square detection based on the predicted residual and least-squares residual is analyzed and the equivalence between them is deduced. Then, choosing the chi-square detection based on the predicted residual as the research object, the influence of satellite configuration and fault duration time on the performance of fault detection is analyzed in theory. The influence of satellite configuration is analyzed from the number and geometry of visible satellites. Several numerical simulations are conducted to verify the theoretical analysis. The results show that, for a single-epoch fault, the location of faulty measurement and the geometry have little effect on the performance of fault detection, while the number of visible satellites has greater influence on the fault detection performance than the geometry. For a continuous fault, the fault detection performance will decrease with the increase of fault duration time when the value of the fault is near the minimal detectable bias (MDB), and faults occurring on different satellite’s measurement will result in different detection results.https://www.mdpi.com/1424-8220/19/9/2147GNSS/INS integrationfault detectionchi-square testsatellite configurationfault duration time
collection DOAJ
language English
format Article
sources DOAJ
author Chuang Zhang
Xiubin Zhao
Chunlei Pang
Liang Zhang
Bo Feng
spellingShingle Chuang Zhang
Xiubin Zhao
Chunlei Pang
Liang Zhang
Bo Feng
The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
Sensors
GNSS/INS integration
fault detection
chi-square test
satellite configuration
fault duration time
author_facet Chuang Zhang
Xiubin Zhao
Chunlei Pang
Liang Zhang
Bo Feng
author_sort Chuang Zhang
title The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
title_short The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
title_full The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
title_fullStr The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
title_full_unstemmed The Influence of Satellite Configuration and Fault Duration Time on the Performance of Fault Detection in GNSS/INS Integration
title_sort influence of satellite configuration and fault duration time on the performance of fault detection in gnss/ins integration
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-05-01
description For the integration of global navigation satellite system (GNSS) and inertial navigation system (INS), real-time and accurate fault detection is essential to enhance the reliability and precision of the system. Among the existing methods, the residual chi-square detection is still widely used due to its good real-time performance and sensibility of fault detection. However, further investigation on the performance of fault detection for different observational conditions and fault models is still required. In this paper, the principle of chi-square detection based on the predicted residual and least-squares residual is analyzed and the equivalence between them is deduced. Then, choosing the chi-square detection based on the predicted residual as the research object, the influence of satellite configuration and fault duration time on the performance of fault detection is analyzed in theory. The influence of satellite configuration is analyzed from the number and geometry of visible satellites. Several numerical simulations are conducted to verify the theoretical analysis. The results show that, for a single-epoch fault, the location of faulty measurement and the geometry have little effect on the performance of fault detection, while the number of visible satellites has greater influence on the fault detection performance than the geometry. For a continuous fault, the fault detection performance will decrease with the increase of fault duration time when the value of the fault is near the minimal detectable bias (MDB), and faults occurring on different satellite’s measurement will result in different detection results.
topic GNSS/INS integration
fault detection
chi-square test
satellite configuration
fault duration time
url https://www.mdpi.com/1424-8220/19/9/2147
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