公开(公告)号：US07167884B2

公开(公告)日：2007-01-23

申请号：US10126663

申请日：2002-04-22

申请人： Michael Picciolo ,  Karl R. Gerlach ,  Jay S. Goldstein

发明人： Michael Picciolo ,  Karl R. Gerlach ,  Jay S. Goldstein

IPC分类号： G06F17/10

CPC分类号： G01S7/292

摘要： An adaptive signal processing system utilizes a Multistage Weiner Filter having an analysis section and a synthesis section that includes a processor. The processor includes an algorithm for generating a data adaptive linear transformation, computing an adaptive weighting wmed of the data, and applying the computed adaptive weighting wmed to a function of a main input signal and an auxiliary input signal to generate an output signal. A plurality of building blocks in a Gram-Schmidt cascaded canceller-type configuration sequentially decorrelate input signals from each other to produce a single filtered output signal. Each building block generates an adaptive weight wmed that is applied to generate a local output signal. The effect of non-Gaussian noise contamination on the convergence MOE of the system is negligible. In addition, when desired signal components are included in weight training data they cause little loss of noise cancellation.

摘要翻译： 自适应信号处理系统利用具有分析部分和包括处理器的合成部分的多级维纳滤波器。 该处理器包括用于产生数据自适应线性变换的算法，计算数据的自适应加权，并将所计算的自适应加权函数应用于 主输入信号和辅助输入信号以产生输出信号。 Gram-Schmidt级联消除器型配置中的多个构建块顺序地将输入信号彼此相关联以产生单个滤波输出信号。 每个构建块生成适用于生成本地输出信号的自适应权重。 非高斯噪声污染对系统收敛MOE的影响可以忽略不计。 另外，当需要的信号分量包括在重量训练数据中时，它们几乎不会造成噪声消除的损失。