Extended factored space-time processing for airborne radar systems

Factored space-time processing has been proposed as a reasonable suboptimal solution to reduce ground clutter in an airborne radar system in order to lower the enormous computational complexity required in fully adaptive processing. An algorithm for mitigating loss in performance of the basic factored technique by extending the Doppler filter spatial weight set to include various degrees of adjacent Doppler coupling is described. The extended factored algorithm is developed, and performance results, vis-a-vis the optimal and basic factored approaches, are presented for both theoretical and measured airborne clutter scenarios