Traditional space-time adaptive processing (STAP) is a strategy for clutter suppression in airborne radar, which\nrequires a large number of computational complexity and secondary data. In order to address the problem,\nreduced-dimension (RD) STAP is generally used. We propose a novel RD STAP through searching the best channels as\nthe auxiliary channels to cancel the interference. Based on the estimation of the clutter Fourier basis vectors offline, a\nparameter named angle-Doppler correlation coefficient (ADC2) is constructed to evaluate the capability of each\nauxiliary channel in clutter suppression, and the best sets of RD channels can be selected. The proposed algorithm can\nachieve the best detection performance with the fixed number of auxiliary channel. When the degrees of freedom\n(DOF) are restricted to a small value, only one auxiliary channel is needed to guarantee the SINR loss less than 3 dB.\nTherefore, the requirement of the training sample can be reduced, which makes the proposed approach more\nsuitable for the heterogeneous clutter environments.
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