Deep Coupled Integration of CSAC and GNSS for Robust PNT
Global navigation satellite systems (GNSS) are the most widely used positioning, navigation, and timing (PNT) technology. However, a GNSS cannot provide effective PNT services in physical blocks, such as in a natural canyon, canyon city, underground, underwater, and indoors. With the development of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/9/23050 |
| _version_ | 1811300994911305728 |
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| author | Lin Ma Zheng You Bin Li Bin Zhou Runqi Han |
| author_facet | Lin Ma Zheng You Bin Li Bin Zhou Runqi Han |
| author_sort | Lin Ma |
| collection | DOAJ |
| description | Global navigation satellite systems (GNSS) are the most widely used positioning, navigation, and timing (PNT) technology. However, a GNSS cannot provide effective PNT services in physical blocks, such as in a natural canyon, canyon city, underground, underwater, and indoors. With the development of micro-electromechanical system (MEMS) technology, the chip scale atomic clock (CSAC) gradually matures, and performance is constantly improved. A deep coupled integration of CSAC and GNSS is explored in this thesis to enhance PNT robustness. “Clock coasting” of CSAC provides time synchronized with GNSS and optimizes navigation equations. However, errors of clock coasting increase over time and can be corrected by GNSS time, which is stable but noisy. In this paper, weighted linear optimal estimation algorithm is used for CSAC-aided GNSS, while Kalman filter is used for GNSS-corrected CSAC. Simulations of the model are conducted, and field tests are carried out. Dilution of precision can be improved by integration. Integration is more accurate than traditional GNSS. When only three satellites are visible, the integration still works, whereas the traditional method fails. The deep coupled integration of CSAC and GNSS can improve the accuracy, reliability, and availability of PNT. |
| first_indexed | 2024-04-13T07:00:49Z |
| format | Article |
| id | doaj.art-4abcccfef4db4892a0a979634a21243b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T07:00:49Z |
| publishDate | 2015-09-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-4abcccfef4db4892a0a979634a21243b2022-12-22T02:57:07ZengMDPI AGSensors1424-82202015-09-01159230502307010.3390/s150923050s150923050Deep Coupled Integration of CSAC and GNSS for Robust PNTLin Ma0Zheng You1Bin Li2Bin Zhou3Runqi Han4Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaDepartment of Precision Instrument, Tsinghua University, Beijing 100084, ChinaGlobal navigation satellite systems (GNSS) are the most widely used positioning, navigation, and timing (PNT) technology. However, a GNSS cannot provide effective PNT services in physical blocks, such as in a natural canyon, canyon city, underground, underwater, and indoors. With the development of micro-electromechanical system (MEMS) technology, the chip scale atomic clock (CSAC) gradually matures, and performance is constantly improved. A deep coupled integration of CSAC and GNSS is explored in this thesis to enhance PNT robustness. “Clock coasting” of CSAC provides time synchronized with GNSS and optimizes navigation equations. However, errors of clock coasting increase over time and can be corrected by GNSS time, which is stable but noisy. In this paper, weighted linear optimal estimation algorithm is used for CSAC-aided GNSS, while Kalman filter is used for GNSS-corrected CSAC. Simulations of the model are conducted, and field tests are carried out. Dilution of precision can be improved by integration. Integration is more accurate than traditional GNSS. When only three satellites are visible, the integration still works, whereas the traditional method fails. The deep coupled integration of CSAC and GNSS can improve the accuracy, reliability, and availability of PNT.http://www.mdpi.com/1424-8220/15/9/23050integrationCSACGNSSweighted linear optimal estimationKalman filter |
| spellingShingle | Lin Ma Zheng You Bin Li Bin Zhou Runqi Han Deep Coupled Integration of CSAC and GNSS for Robust PNT Sensors integration CSAC GNSS weighted linear optimal estimation Kalman filter |
| title | Deep Coupled Integration of CSAC and GNSS for Robust PNT |
| title_full | Deep Coupled Integration of CSAC and GNSS for Robust PNT |
| title_fullStr | Deep Coupled Integration of CSAC and GNSS for Robust PNT |
| title_full_unstemmed | Deep Coupled Integration of CSAC and GNSS for Robust PNT |
| title_short | Deep Coupled Integration of CSAC and GNSS for Robust PNT |
| title_sort | deep coupled integration of csac and gnss for robust pnt |
| topic | integration CSAC GNSS weighted linear optimal estimation Kalman filter |
| url | http://www.mdpi.com/1424-8220/15/9/23050 |
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