Performance analysis of the multi-stage Wiener filter

Abstract

This paper studies the effects of several parameters on the detection performance of a novel space-time adaptive technique, termed the multi-stage Wiener filter. This technique offers full space-time adaptive processing at a reduced computational cost. Focus is on the effects of several parameters on the performance of the proposed approach. Parameters considered are the number of stages required, sensitivity to over/under-estimating this number, effects of internal clutter motion (ICM), aircraft crab angle, presence of jammers and training data size. A comparative analysis with two rank reducing approaches, namely, the eigencanceler and the cross-spectral metric, has also been included. Both simulations and measured data results are provided.