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首页> 外文会议>International Conference on Communications vol.1; 20040603-05; Bucharest(RO) >LEAST-SQUARES LATTICE ALGORITHMS FOR IIR NOTCH FILTERING
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LEAST-SQUARES LATTICE ALGORITHMS FOR IIR NOTCH FILTERING

机译：用于IIR缺口过滤的最小二乘格算法

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摘要

Adaptive notch filtering for sinusoids retrieval from background noise is an important subject in telecommunications world. This field is particularly interesting in applications such as radar, sonar and telecom systems that use variable carrier frequencies. This paper presents a new approach to the IIR notch filtering: recursive least-squares method applied to lattice filter structures represented through trigonometric functions. We have applied the Gauss-Newton method to gradient approaches and have developed two least-squares algorithms: a complete form and a simplified one. From the author's knowledge, the presented algorithms have never been published in these forms before. They are very good candidates for programming in CORDIC and implementation on dedicated FPGA processors. We present the developed methods and we compare their performances to the direct form RLS notch implementations.
机译：用于从背景噪声中获取正弦波的自适应陷波滤波技术是电信界的重要课题。在诸如雷达，声纳和电信系统等使用可变载波频率的应用中，该领域特别有趣。本文提出了一种IIR陷波滤波的新方法：递归最小二乘方法应用于通过三角函数表示的晶格滤波器结构。我们将高斯-牛顿法应用于梯度法，并开发了两种最小二乘算法：完整形式和简化形式。据作者所知，提出的算法以前从未以这些形式公开过。它们非常适合在CORDIC中进行编程以及在专用FPGA处理器上实现。我们介绍了已开发的方法，并将其性能与直接形式的RLS陷波实现进行了比较。

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