An implementation of high-speed adaptive noise canceller with parallel block structure

Chawalit Benjangkaprasert, Katsumi Kikuchi, Sobuaki Takahashi, Tsuyoshi Takehe
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引用次数: 1

Abstract

An adaptive algorithm for detecting a single sinusoid of unknown frequency corrupted by Gaussian noise has been proposed by Nishimura et al. using IIR bandpass filter with a variable center frequency/sup [1]/. The filter has the parallel block structure for fast processing. However, the algorithm has two problems: one is that it has several input frequencies making it impossible to converge; another is that the convergence rate cannot be higher than that of the scalar structure. In this paper, the causes of these problems are investigated and a new algorithm is proposed to solve these problems. Simulation results are given to illustrate the performance of the proposed algorithm.
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一种并行块结构的高速自适应消噪器的实现
Nishimura等人利用可变中心频率/sup的IIR带通滤波器[1]提出了一种用于检测被高斯噪声破坏的未知频率的单个正弦波的自适应算法。该滤波器采用并行块结构,处理速度快。然而,该算法存在两个问题:一是它有多个输入频率,使其无法收敛;二是收敛速度不能高于标量结构的收敛速度。本文分析了产生这些问题的原因,并提出了一种新的算法来解决这些问题。仿真结果验证了该算法的有效性。
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