Abstract
A novel knowledge-aided reduced rank (RR) space-time adaptive processing (STAP) method is presented in this paper. Firstly, a clutter model is constructed by priori knowledge such as flying parameters, radar system parameters, mapping and terrain parameters. Secondly, the clutter is performed via the pre-whiten processing of the constructed clutter model. Finally, RR STAP method is used to suppress the residual clutter. The simulation result shows the KA-RR method has better robustness in nonhomogeneous clutter environment compared with conventional RR STAP method. (5 pages)
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