The research in this dissertation addresses reduced rank adaptive signal processing, with specic emphasis on the multistage Wiener lter (MWF). The MWF is a generalization of the classical Wiener lter that performs a stage-by-stage decompositio

在GPS 接收机空时抗干扰的研究过程中, 计算量大是目前主要的瓶颈, 因此研究降维简化处理算法成 为空时处理最关键的问题之一。在已给空时二维自适应滤波模型的基础上, 通过对降维处理思想的分析, 提出了一 种基于多级维纳滤波(MWF) 模型的改进方法-Study on Dimension-reduced Processing Methods for Space-time Interference Suppression in GPS Receiver