Orbit Determination Based on Particle Filtering Algorithm
Since the distribution of state variables of satellite orbit estimation is non-Gaussian, the particle filtering algorithm is put forward. Through the presentation of the particle filtering algorithm and the mechanism of satellite orbit estimation, the orb
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Jiadong Sun Jingnan Liu Yuanxi Yang Shiwei Fan Wenxian Yu Editors
China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume III
Lecture Notes in Electrical Engineering Volume 439
Board of Series editors Leopoldo Angrisani, Napoli, Italy Marco Arteaga, Coyoacán, México Samarjit Chakraborty, München, Germany Jiming Chen, Hangzhou, P.R. China Tan Kay Chen, Singapore, Singapore Rüdiger Dillmann, Karlsruhe, Germany Haibin Duan, Beijing, China Gianluigi Ferrari, Parma, Italy Manuel Ferre, Madrid, Spain Sandra Hirche, München, Germany Faryar Jabbari, Irvine, USA Janusz Kacprzyk, Warsaw, Poland Alaa Khamis, New Cairo City, Egypt Torsten Kroeger, Stanford, USA Tan Cher Ming, Singapore, Singapore Wolfgang Minker, Ulm, Germany Pradeep Misra, Dayton, USA Sebastian Möller, Berlin, Germany Subhas Mukhopadyay, Palmerston, New Zealand Cun-Zheng Ning, Tempe, USA Toyoaki Nishida, Sakyo-ku, Japan Bijaya Ketan Panigrahi, New Delhi, India Federica Pascucci, Roma, Italy Tariq Samad, Minneapolis, USA Gan Woon Seng, Nanyang Avenue, Singapore Germano Veiga, Porto, Portugal Haitao Wu, Beijing, China Junjie James Zhang, Charlotte, USA
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Jiadong Sun Jingnan Liu Yuanxi Yang Shiwei Fan Wenxian Yu •
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Editors
China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume III
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Editors Jiadong Sun Academician of CAS China Aerospace Science and Technology Corporation Beijing China Jingnan Liu Wuhan University Wuhan China
Shiwei Fan China Satellite Navigation Office Beijing China Wenxian Yu Shanghai Jiao Tong University Shanghai China
Yuanxi Yang National Administration of GNSS and Applications Beijing China
ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notes in Electrical Engineering ISBN 978-981-10-4593-6 ISBN 978-981-10-4594-3 (eBook) DOI 10.1007/978-981-10-4594-3 Library of Congress Control Number: 2017937524 © Springer Nature