Spacecraft orbit determination method based on data driving

The invention discloses a spacecraft weighted orbit determination method based on data driving, and the method comprises the steps: enabling an orbit determination sample set Z consisting of a measurement data set X and a corresponding target spacecraft orbit set Y to be equal to {X, Y}, carrying ou...

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Main Authors LI JILIAN, TANG YAFENG, LI ZHI, ZHANG YASHENG, HUO YURONG, FANG YUQIANG, FENG FEI, HUANG QIUSHI, DIAO HUAFEI, LU WANG, TAO XUEFENG, LI HENGNIAN
Format Patent
LanguageChinese
English
Published 26.07.2019
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Summary:The invention discloses a spacecraft weighted orbit determination method based on data driving, and the method comprises the steps: enabling an orbit determination sample set Z consisting of a measurement data set X and a corresponding target spacecraft orbit set Y to be equal to {X, Y}, carrying out the weighting of the measurement data, and constructing an orbit determination weighted sample set; calculating a Gram matrix of the constructed orbit determination weighted sample set, and taking an elastic network as a loss function; and calculating an optimal estimation value of a spacecraft orbit determination result y (t) based on the Gram matrix. According to the method, a complex dynamic model does not need to be constructed, the idea of machine learning is introduced, and an unknown spacecraft orbit can be estimated by learning a large number of nominal orbits with existing tags; besides, the training data and the test data have the same noise characteristics, and the sample data is taken as the training
Bibliography:Application Number: CN201910355099