Parameters Estimation Method for STAR Model Based on Clutter Degree of Freedom

Space-time auto-regression(STAR) is a parametric clutter rejection method based on AR model.Though the method needs less computational load and can attain good performance under the condition of a little training data,it's severely influenced by the AR model parameters.The basic principle for clutter rejection of STAR is firstly analyzed.Then a simple and fast estimation method for AR model based on degree of freedom is presented according to the idea of subspace clutter rejection.The new parameter estimation method markedly decreases the complication of traditional method.The simulation results demonstrate its effectiveness.