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Spacecraft angular velocity estimation method using optical flow of stars
Angular velocity is a crucial parameter for spacecraft navigation, which, at present, is mainly obtained by using gyroscopes. Several studies have been performed on angular velocity estimation using star sensors when data from gyroscopes are not available. Most of the previous angular velocity estim...
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Published in: | Science China. Information sciences 2018-11, Vol.61 (11), p.112203, Article 112203 |
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description | Angular velocity is a crucial parameter for spacecraft navigation, which, at present, is mainly obtained by using gyroscopes. Several studies have been performed on angular velocity estimation using star sensors when data from gyroscopes are not available. Most of the previous angular velocity estimation methods using star sensors are based on information on the attitude or star vector measurements. In this paper, an angular velocity estimation method using the optical flow (OF) directly from the star images is proposed, which, unlike the previous methods, requires star coordinates in two consecutive images only. Because the procedure of star identification is eliminated, the corresponding high computation requirement is reduced. Simulations demonstrate that the proposed method has a robust performance in terms of computational cost and the number of stars in the field of view (FOV) compared with the previous methods. Finally, certain affecting factors are analyzed, including lens distortion, star senor instantaneous FOV (IFOV), star number, and accuracy of the star sensor. |
doi_str_mv | 10.1007/s11432-017-9338-8 |
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Several studies have been performed on angular velocity estimation using star sensors when data from gyroscopes are not available. Most of the previous angular velocity estimation methods using star sensors are based on information on the attitude or star vector measurements. In this paper, an angular velocity estimation method using the optical flow (OF) directly from the star images is proposed, which, unlike the previous methods, requires star coordinates in two consecutive images only. Because the procedure of star identification is eliminated, the corresponding high computation requirement is reduced. Simulations demonstrate that the proposed method has a robust performance in terms of computational cost and the number of stars in the field of view (FOV) compared with the previous methods. Finally, certain affecting factors are analyzed, including lens distortion, star senor instantaneous FOV (IFOV), star number, and accuracy of the star sensor.</description><identifier>ISSN: 1674-733X</identifier><identifier>EISSN: 1869-1919</identifier><identifier>DOI: 10.1007/s11432-017-9338-8</identifier><language>eng</language><publisher>Beijing: Science China Press</publisher><subject>Angular velocity ; Computer Science ; Gyroscopes ; Information Systems and Communication Service ; Optical flow (image analysis) ; Research Paper ; Sensors ; Spacecraft ; Velocity</subject><ispartof>Science China. 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Simulations demonstrate that the proposed method has a robust performance in terms of computational cost and the number of stars in the field of view (FOV) compared with the previous methods. Finally, certain affecting factors are analyzed, including lens distortion, star senor instantaneous FOV (IFOV), star number, and accuracy of the star sensor.</description><subject>Angular velocity</subject><subject>Computer Science</subject><subject>Gyroscopes</subject><subject>Information Systems and Communication Service</subject><subject>Optical flow (image analysis)</subject><subject>Research Paper</subject><subject>Sensors</subject><subject>Spacecraft</subject><subject>Velocity</subject><issn>1674-733X</issn><issn>1869-1919</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LxDAQxYMouOh-AG8Bz9WkkzbJURb_LCx4UMFbSNNk7dJtapIq--3NUsGTc5k5vPdm5ofQFSU3lBB-GyllUBaE8kICiEKcoAUVtSyopPI0zzVnBQd4P0fLGHckFwApuVig9cuojTVBu4T1sJ16HfCX7b3p0gHbmLq9Tp0f8N6mD9_iKXbDFvsxdUb32PX-G3uHY9IhXqIzp_tol7_9Ar093L-unorN8-N6dbcpDNQsFdxx0YiWVEJTahgnTcuA65rVVe2EabmtJGgghsqGEKGtlMRKIRyUwjUM4AJdz7lj8J9TPlHt_BSGvFKVkoqKVcBoVtFZZYKPMVinxpB_CQdFiTpCUzM0laGpIzQlsqecPTFrh60Nf8n_m34A0phutg</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Ning, Xiaolin</creator><creator>Ding, Zonghe</creator><creator>Chen, Pingping</creator><creator>Wu, Weiren</creator><creator>Fang, Jiancheng</creator><creator>Liu, Gang</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20181101</creationdate><title>Spacecraft angular velocity estimation method using optical flow of stars</title><author>Ning, Xiaolin ; Ding, Zonghe ; Chen, Pingping ; Wu, Weiren ; Fang, Jiancheng ; Liu, Gang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-7f78b8d058a11c470bd437a64656f8cd7e593a30c19b008ae990e988f328fb433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Angular velocity</topic><topic>Computer Science</topic><topic>Gyroscopes</topic><topic>Information Systems and Communication Service</topic><topic>Optical flow (image analysis)</topic><topic>Research Paper</topic><topic>Sensors</topic><topic>Spacecraft</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ning, Xiaolin</creatorcontrib><creatorcontrib>Ding, Zonghe</creatorcontrib><creatorcontrib>Chen, Pingping</creatorcontrib><creatorcontrib>Wu, Weiren</creatorcontrib><creatorcontrib>Fang, Jiancheng</creatorcontrib><creatorcontrib>Liu, Gang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Science China. 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Most of the previous angular velocity estimation methods using star sensors are based on information on the attitude or star vector measurements. In this paper, an angular velocity estimation method using the optical flow (OF) directly from the star images is proposed, which, unlike the previous methods, requires star coordinates in two consecutive images only. Because the procedure of star identification is eliminated, the corresponding high computation requirement is reduced. Simulations demonstrate that the proposed method has a robust performance in terms of computational cost and the number of stars in the field of view (FOV) compared with the previous methods. Finally, certain affecting factors are analyzed, including lens distortion, star senor instantaneous FOV (IFOV), star number, and accuracy of the star sensor.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11432-017-9338-8</doi></addata></record> |
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subjects | Angular velocity Computer Science Gyroscopes Information Systems and Communication Service Optical flow (image analysis) Research Paper Sensors Spacecraft Velocity |
title | Spacecraft angular velocity estimation method using optical flow of stars |
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