A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements
In order to meet the requirements of autonomy and reliability for the navigation system, combined with the method of measuring speed by using the spectral redshift information of the natural celestial bodies, a new scheme, consisting of Strapdown Inertial Navigation System (SINS)/Spectral Redshift (...
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doaj-363fa6e1311e4cfcbeb7ae18a22c86882020-11-24T20:48:25ZengMDPI AGSensors1424-82202018-04-01184114510.3390/s18041145s18041145A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity MeasurementsWenhui Wei0Zhaohui Gao1Shesheng Gao2Ke Jia3School of Automatics, Northwestern Polytechnical University, 710072 Xi’an, ChinaSchool of Automatics, Northwestern Polytechnical University, 710072 Xi’an, ChinaSchool of Automatics, Northwestern Polytechnical University, 710072 Xi’an, ChinaSchool of Automatics, Northwestern Polytechnical University, 710072 Xi’an, ChinaIn order to meet the requirements of autonomy and reliability for the navigation system, combined with the method of measuring speed by using the spectral redshift information of the natural celestial bodies, a new scheme, consisting of Strapdown Inertial Navigation System (SINS)/Spectral Redshift (SRS)/Geomagnetic Navigation System (GNS), is designed for autonomous integrated navigation systems. The principle of this SINS/SRS/GNS autonomous integrated navigation system is explored, and the corresponding mathematical model is established. Furthermore, a robust adaptive central difference particle filtering algorithm is proposed for this autonomous integrated navigation system. The simulation experiments are conducted and the results show that the designed SINS/SRS/GNS autonomous integrated navigation system possesses good autonomy, strong robustness and high reliability, thus providing a new solution for autonomous navigation technology.http://www.mdpi.com/1424-8220/18/4/1145spectral redshiftautonomous navigationintegrated navigationrobust adaptive filteringparticle filtering |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenhui Wei Zhaohui Gao Shesheng Gao Ke Jia |
spellingShingle |
Wenhui Wei Zhaohui Gao Shesheng Gao Ke Jia A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements Sensors spectral redshift autonomous navigation integrated navigation robust adaptive filtering particle filtering |
author_facet |
Wenhui Wei Zhaohui Gao Shesheng Gao Ke Jia |
author_sort |
Wenhui Wei |
title |
A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements |
title_short |
A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements |
title_full |
A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements |
title_fullStr |
A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements |
title_full_unstemmed |
A SINS/SRS/GNS Autonomous Integrated Navigation System Based on Spectral Redshift Velocity Measurements |
title_sort |
sins/srs/gns autonomous integrated navigation system based on spectral redshift velocity measurements |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-04-01 |
description |
In order to meet the requirements of autonomy and reliability for the navigation system, combined with the method of measuring speed by using the spectral redshift information of the natural celestial bodies, a new scheme, consisting of Strapdown Inertial Navigation System (SINS)/Spectral Redshift (SRS)/Geomagnetic Navigation System (GNS), is designed for autonomous integrated navigation systems. The principle of this SINS/SRS/GNS autonomous integrated navigation system is explored, and the corresponding mathematical model is established. Furthermore, a robust adaptive central difference particle filtering algorithm is proposed for this autonomous integrated navigation system. The simulation experiments are conducted and the results show that the designed SINS/SRS/GNS autonomous integrated navigation system possesses good autonomy, strong robustness and high reliability, thus providing a new solution for autonomous navigation technology. |
topic |
spectral redshift autonomous navigation integrated navigation robust adaptive filtering particle filtering |
url |
http://www.mdpi.com/1424-8220/18/4/1145 |
work_keys_str_mv |
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