The location prediction of a floating small-sized antenna based on nonlinear time series

An adaptive variable coefficient chaotic local prediction method is studied and applied in the process of the location prediction of a floating small-sized antenna. The non-linear relation among the different locations of the antenna measured by the GPS is studied, and the prediction sources of the data driven location prediction are selected from the locations at the current time neighborhood. An adaptive variable coefficient chaotic local prediction method is put forward according to the uncertainty and time-variation of the antenna´s drift and the weighted first order chaotic local prediction method. In the process of prediction the time neighborhood and prediction sources are timely updated to ensure the truth and science of the prediction results. The prediction coefficients are timely calculated by solving the ternary linear equations and the prediction results are calculated by prediction parse formula. It is proved the method has good accuracy and low computational complexity.