The Modified Cubature Kalman Filter for Relative Navigation of Space Target Tracking
Abstract At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The continuous observation ability of non-cooperative targets and good imaging performance in motion are important trends in the development of optica...
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Published in | Journal of physics. Conference series Vol. 2437; no. 1; pp. 12108 - 12115 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Abstract | Abstract
At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The continuous observation ability of non-cooperative targets and good imaging performance in motion are important trends in the development of optical remote sensing technology. Aiming at the high-precision observation and real-time tracking requirements of high orbit space satellites, this paper studies the high-precision relative navigation of space non cooperative targets. In order to solve the problem that the estimation accuracy of Cubature Kalman filter (CKF) decreases when the system visibility is low, a modified Cubature Kalman filter (MCKF) based on the visibility is proposed. This algorithm defines a system visibility characterization method based on the error gain matrix of the filtering process, and proposes the visibility scaling parameter based on this method, The filter gain covariance matrix is adjusted online, so that the algorithm can adjust the weight of state prediction and system observation online according to the observability of the current time. Numerical simulation shows that compared with CKF, the estimation accuracy of MCKF is improved by about 4 times, and MCKF stabilizes faster and has higher accuracy. |
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AbstractList | At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The continuous observation ability of non-cooperative targets and good imaging performance in motion are important trends in the development of optical remote sensing technology. Aiming at the high-precision observation and real-time tracking requirements of high orbit space satellites, this paper studies the high-precision relative navigation of space non cooperative targets. In order to solve the problem that the estimation accuracy of Cubature Kalman filter (CKF) decreases when the system visibility is low, a modified Cubature Kalman filter (MCKF) based on the visibility is proposed. This algorithm defines a system visibility characterization method based on the error gain matrix of the filtering process, and proposes the visibility scaling parameter based on this method, The filter gain covariance matrix is adjusted online, so that the algorithm can adjust the weight of state prediction and system observation online according to the observability of the current time. Numerical simulation shows that compared with CKF, the estimation accuracy of MCKF is improved by about 4 times, and MCKF stabilizes faster and has higher accuracy. Abstract At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The continuous observation ability of non-cooperative targets and good imaging performance in motion are important trends in the development of optical remote sensing technology. Aiming at the high-precision observation and real-time tracking requirements of high orbit space satellites, this paper studies the high-precision relative navigation of space non cooperative targets. In order to solve the problem that the estimation accuracy of Cubature Kalman filter (CKF) decreases when the system visibility is low, a modified Cubature Kalman filter (MCKF) based on the visibility is proposed. This algorithm defines a system visibility characterization method based on the error gain matrix of the filtering process, and proposes the visibility scaling parameter based on this method, The filter gain covariance matrix is adjusted online, so that the algorithm can adjust the weight of state prediction and system observation online according to the observability of the current time. Numerical simulation shows that compared with CKF, the estimation accuracy of MCKF is improved by about 4 times, and MCKF stabilizes faster and has higher accuracy. |
Author | Liang, Fengchao Zhang, Ai Jiu, Yuanwei Zhang, Chao Zhao, Xin Li, Jing Huang, Gang |
Author_xml | – sequence: 1 givenname: Ai surname: Zhang fullname: Zhang, Ai organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 2 givenname: Chao surname: Zhang fullname: Zhang, Chao organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 3 givenname: Xin surname: Zhao fullname: Zhao, Xin organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 4 givenname: Yuanwei surname: Jiu fullname: Jiu, Yuanwei organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 5 givenname: Jing surname: Li fullname: Li, Jing organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 6 givenname: Gang surname: Huang fullname: Huang, Gang organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China – sequence: 7 givenname: Fengchao surname: Liang fullname: Liang, Fengchao organization: Beijing Institute of Space Machinery and Electronics, a China Academy of Space Technology , China |
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Cites_doi | 10.2514/1.45006 10.1109/TAC.2009.2019800 |
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References_xml | – volume: 42 start-page: 84 year: 2021 ident: JPCS_2437_1_012108bib3 article-title: High Frequency Aberration Correction of the Space Camera Based on the LQG Controller publication-title: Spacecraft Recovery & Remote Sensing contributor: fullname: Chen – volume: 37 start-page: 111 year: 2016 ident: JPCS_2437_1_012108bib6 article-title: A Method of Double Line-of-sight Measurement Relative Navigation publication-title: Acta Aeronautica et Astronautica Sinica contributor: fullname: Wang – volume: 34 start-page: 95 year: 2017 ident: JPCS_2437_1_012108bib4 article-title: Inter-Satellite Ranging Augmented GPS Relaitve Navigation for Satellite Formation Flying publication-title: Aerospace Shanghai contributor: fullname: Zhang – year: 2015 ident: JPCS_2437_1_012108bib5 contributor: fullname: Wang – volume: 32 start-page: 1382 year: 2009 ident: JPCS_2437_1_012108bib7 article-title: Optimal Orbital Rendezvous Maneuvering for Angles-only Navigation publication-title: Journal of Guidance Control and Dynamics doi: 10.2514/1.45006 contributor: fullname: Woffinden – volume: 30 start-page: 2206 year: 2009 ident: JPCS_2437_1_012108bib8 article-title: Study on Federal Filter of Relative Navigation for Non- cooperative Spacecraft publication-title: Journal of Astronautics contributor: fullname: Qiu – volume: 41 start-page: 244 year: 2015 ident: JPCS_2437_1_012108bib10 article-title: Improved UKF Algorithm Based on Cauchy Robust Function publication-title: Journal of East China University of Science and Technology (Natural Science Edition) contributor: fullname: Gao – volume: 54 start-page: 1254 year: 2009 ident: JPCS_2437_1_012108bib9 article-title: Cubature Kalman filters publication-title: IEEE Transactions on Automatic Control doi: 10.1109/TAC.2009.2019800 contributor: fullname: Arasaratnam – volume: 25 start-page: 108 year: 2008 ident: JPCS_2437_1_012108bib11 article-title: Improved UKF Algorithm for Pseudolite Positioning System publication-title: Journal of Geomatics Science and Technology contributor: fullname: Li – volume: 27 start-page: 86 year: 2018 ident: JPCS_2437_1_012108bib2 article-title: Development Status Research of Foreign Space Target Detection and Identification System publication-title: Spacecraft Engineering contributor: fullname: Wang – volume: 39 start-page: 1228 year: 2018 ident: JPCS_2437_1_012108bib12 article-title: A Modified Cubature Kalman Filter for Autonomous Navigation Based on Relative Measurements Between Satellites publication-title: Journal of Astronautics contributor: fullname: Zhang – volume: 41 start-page: 47 year: 2020 ident: JPCS_2437_1_012108bib1 article-title: A New Filter Method for Optic Pointing Motion of Spaceborne Optical Remote Sensors publication-title: Spacecraft Recovery & Remote Sensing contributor: fullname: Hou |
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Snippet | Abstract
At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The... At present, the trend of improving the mobility of fast acquisition, long-term tracking and high-precision control has been formed in China. The continuous... |
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SubjectTerms | Accuracy Algorithms Covariance matrix Cubature Kalman filter Kalman filters Navigation Non-cooperative targets Physics relative navigation Remote observing Remote sensing Satellite tracking space situational awareness Tracking Tracking control Visibility |
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Title | The Modified Cubature Kalman Filter for Relative Navigation of Space Target Tracking |
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