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...
Saved in:
Main Authors | , , , , , , , , , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
26.07.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |