In order to analyze the non-linear and non-stationary spectrum occupancy time series which cannot be directly analyzed base on traditional time series method

a novel prediction modelling method of spectrum occupancy time series based on ensemble empirical mode decomposition (EEMD) and Artificial Neural Network (ANN) is proposed.Firstly

the spectrum occupancy time series is decomposed into serval intrinsic model function (IMF) so as to make every component stationary.Then in view of the stationary time series

a prediction ANN model is established correspondingly for each IMF.Simulative experiment for practical measured data shows that the proposed method has higher precision in comparison with other methods

i.e.

effective to non-linear and ono-stationary complicated spectrum occupancy time series prediction.