The invention relates to a prediction method suitable for a movement track of a non-cooperative
spinning object in space. A position coordinate of the object in a camera coordinate
system is obtained, and a position coordinate of the object in an
inertia coordinate
system is solved according to a known camera attitude; and an NAR neural network is constructed, a BPTT
algorithm is used to
train the neural network, the position value of the object is predicted and output after deviation convergence, and the
system robustness and sampling continuity are ensured. Position information is used to calculate an attitude transformation
quaternion, the attitude transformation
quaternion is calculated via kinematical and
kinetic equations according to estimated parameters, and an estimated parameter value of least square regression is used to calculate a prediction result via the equations. The method is applied to an in-
orbit service task of the space, the object track can be traced rapidly and accurately, and long-term prediction information of the object track can be obtained after parameter convergence.