Skip to Main Content
Space-time autoregression (STAR) is a parametric clutter suppression method based on AR model. The basic theory for clutter suppression of STAR is firstly analyzed. Then a simple and fast parameter estimation method for AR model order based on clutter degree of freedom (DOF) is presented according to the theory of subspace clutter cancellation. The simulation results demonstrate its effectiveness.