Performance analysis of the multi-stage Wiener filter

被引：0

作者：

Himed, Braham ^{[1
]}

Michels, James H. ^{[1
]}

机构：

[1] Air Force Research Lab, Rome, United States

来源：

| 2000年

关键词：

Computer simulation - Jamming - Radar clutter - Signal detection - Signal filtering and prediction - Wave filters;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

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