基于HGLS自适应算法的周期干扰自适应消除

E. Soleit
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引用次数: 2

摘要

本文提出了一种超稳定梯度最小二乘(HGLS)自适应递归滤波器。根据超稳定性定理,保证了自适应递归滤波器在自适应过程中的稳定性。采用HGLS算法对自适应消噪器的系数进行更新,以去除与期望信号结合的周期性干扰。HGLS自适应消噪器为宽频谱干扰信号的输出信噪比提供了显著的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive cancellation of a periodic interference using the HGLS adaptation algorithm
A proposal of a hyperstable gradient least squares (HGLS) adaptive recursive filter is presented in this paper. The adaptive recursive filter stability is guaranteed during the adaptation process according to the hyperstability theorem. The HGLS algorithm is used to update the coefficients of the adaptive noise canceller to remove periodic interference that is combined with desired signals. The HGLS adaptive noise canceller provides significant improvements in the output signal to noise ratio for a wide spectrum of the interference signals.
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