SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination
Based on the situation that the traditional SINS (strapdown inertial navigation system)/CNS (celestial navigation system) integrated navigation system fails to realize all-day and all-weather navigation, this paper proposes a SINS/Landmark integrated navigation method based on landmark attitude dete...
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MDPI AG
2019-07-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/13/2917 |
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author | Shuqing Xu Haiyin Zhou Jiongqi Wang Zhangming He Dayi Wang |
author_facet | Shuqing Xu Haiyin Zhou Jiongqi Wang Zhangming He Dayi Wang |
author_sort | Shuqing Xu |
collection | DOAJ |
description | Based on the situation that the traditional SINS (strapdown inertial navigation system)/CNS (celestial navigation system) integrated navigation system fails to realize all-day and all-weather navigation, this paper proposes a SINS/Landmark integrated navigation method based on landmark attitude determination to solve this problem. This integrated navigation system takes SINS as the basic scheme and uses landmark navigation to correct the error of SINS. The way of the attitude determination is to use the landmark information photographed by the landmark camera to complete feature matching. The principle of the landmark navigation and the process of attitude determination are discussed, and the feasibility of landmark attitude determination is analyzed, including the orthogonality of the attitude transform matrix, as well as the influences of the factors such as quantity and geometric position of landmarks. On this basis, the paper constructs the equations of the SINS/Landmark integrated navigation system, testifies the effectiveness of landmark attitude determination on the integrated navigation by Kalman filter, and improves the navigation precision of the system. |
first_indexed | 2024-04-13T07:24:46Z |
format | Article |
id | doaj.art-6ef55c017b6d46e0b146319eff626091 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T07:24:46Z |
publishDate | 2019-07-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-6ef55c017b6d46e0b146319eff6260912022-12-22T02:56:30ZengMDPI AGSensors1424-82202019-07-011913291710.3390/s19132917s19132917SINS/Landmark Integrated Navigation Based on Landmark Attitude DeterminationShuqing Xu0Haiyin Zhou1Jiongqi Wang2Zhangming He3Dayi Wang4College of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, ChinaCollege of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, ChinaCollege of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, ChinaCollege of Liberal Arts and Sciences, National University of Defense Technology, Changsha 410073, ChinaBeijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, ChinaBased on the situation that the traditional SINS (strapdown inertial navigation system)/CNS (celestial navigation system) integrated navigation system fails to realize all-day and all-weather navigation, this paper proposes a SINS/Landmark integrated navigation method based on landmark attitude determination to solve this problem. This integrated navigation system takes SINS as the basic scheme and uses landmark navigation to correct the error of SINS. The way of the attitude determination is to use the landmark information photographed by the landmark camera to complete feature matching. The principle of the landmark navigation and the process of attitude determination are discussed, and the feasibility of landmark attitude determination is analyzed, including the orthogonality of the attitude transform matrix, as well as the influences of the factors such as quantity and geometric position of landmarks. On this basis, the paper constructs the equations of the SINS/Landmark integrated navigation system, testifies the effectiveness of landmark attitude determination on the integrated navigation by Kalman filter, and improves the navigation precision of the system.https://www.mdpi.com/1424-8220/19/13/2917SINS/Landmark integrated navigationlandmark attitude determinationall-day and all-weather navigationimage matchingnavigation Kalman filter |
spellingShingle | Shuqing Xu Haiyin Zhou Jiongqi Wang Zhangming He Dayi Wang SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination Sensors SINS/Landmark integrated navigation landmark attitude determination all-day and all-weather navigation image matching navigation Kalman filter |
title | SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination |
title_full | SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination |
title_fullStr | SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination |
title_full_unstemmed | SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination |
title_short | SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination |
title_sort | sins landmark integrated navigation based on landmark attitude determination |
topic | SINS/Landmark integrated navigation landmark attitude determination all-day and all-weather navigation image matching navigation Kalman filter |
url | https://www.mdpi.com/1424-8220/19/13/2917 |
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