A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation
Database-referenced navigation (DBRN) using geophysical information is often implemented on autonomous underwater vehicles (AUVs) to correct the positional errors of the inertial navigation system (INS). The matching algorithm is a pivotal technique in DBRN. However, it is impossible to completely e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/19/2/307 |
| _version_ | 1828116636230483968 |
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| author | Tian Dai Lingjuan Miao Yanbing Guo |
| author_facet | Tian Dai Lingjuan Miao Yanbing Guo |
| author_sort | Tian Dai |
| collection | DOAJ |
| description | Database-referenced navigation (DBRN) using geophysical information is often implemented on autonomous underwater vehicles (AUVs) to correct the positional errors of the inertial navigation system (INS). The matching algorithm is a pivotal technique in DBRN. However, it is impossible to completely eliminate mismatches in practical application. Therefore, it is necessary to perform a mismatch detection method on the outputs of DBRN. In this paper, we propose a real-time triple constraint mismatch detection method. The proposed detection method is divided into three modules: the model fitting detection module, the spatial structure detection module, and the distance ratio detection module. In the model fitting detection module, the navigation characteristics of AUVs are used to select the fitting model. In the spatial structure detection module, the proposed method performs the mismatch detection based on the affine transformation relationship between the INS-indicated trajectory and the corresponding matched trajectory. In the distance ratio detection module, we derive the distance ratio constraint between the INS-indicated trajectory and the corresponding matched trajectory. Simulations based on an actual geomagnetic anomaly base map have been performed for the validation of the proposed method. |
| first_indexed | 2024-04-11T13:01:10Z |
| format | Article |
| id | doaj.art-00c86edb1e194f16817ebd583c827e84 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:01:10Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-00c86edb1e194f16817ebd583c827e842022-12-22T04:22:56ZengMDPI AGSensors1424-82202019-01-0119230710.3390/s19020307s19020307A Real-Time Mismatch Detection Method for Underwater Database-Referenced NavigationTian Dai0Lingjuan Miao1Yanbing Guo2School of Automation, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Automation, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Automation, Beijing Institute of Technology, Beijing 100081, ChinaDatabase-referenced navigation (DBRN) using geophysical information is often implemented on autonomous underwater vehicles (AUVs) to correct the positional errors of the inertial navigation system (INS). The matching algorithm is a pivotal technique in DBRN. However, it is impossible to completely eliminate mismatches in practical application. Therefore, it is necessary to perform a mismatch detection method on the outputs of DBRN. In this paper, we propose a real-time triple constraint mismatch detection method. The proposed detection method is divided into three modules: the model fitting detection module, the spatial structure detection module, and the distance ratio detection module. In the model fitting detection module, the navigation characteristics of AUVs are used to select the fitting model. In the spatial structure detection module, the proposed method performs the mismatch detection based on the affine transformation relationship between the INS-indicated trajectory and the corresponding matched trajectory. In the distance ratio detection module, we derive the distance ratio constraint between the INS-indicated trajectory and the corresponding matched trajectory. Simulations based on an actual geomagnetic anomaly base map have been performed for the validation of the proposed method.http://www.mdpi.com/1424-8220/19/2/307database-referenced navigationmismatch detectionunderwater navigationinertial navigation systemautonomous underwater vehicles |
| spellingShingle | Tian Dai Lingjuan Miao Yanbing Guo A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation Sensors database-referenced navigation mismatch detection underwater navigation inertial navigation system autonomous underwater vehicles |
| title | A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation |
| title_full | A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation |
| title_fullStr | A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation |
| title_full_unstemmed | A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation |
| title_short | A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation |
| title_sort | real time mismatch detection method for underwater database referenced navigation |
| topic | database-referenced navigation mismatch detection underwater navigation inertial navigation system autonomous underwater vehicles |
| url | http://www.mdpi.com/1424-8220/19/2/307 |
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