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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

期数:

2010年10期

页码:

35-38

栏目:

智能、算法、系统工程

出版日期:

1900-01-01

文章信息/Info

Title:

Research to RLS Algorithm of Adaptive Filter and Its DSP Realization

文章编号:

1673-629X（2010）10-0035-04

作者:

许国威 马胜前 危淑平

西北师范大学物理与电子工程学院

Author(s):

XU Guo-wei; MA Sheng-qian; WEI Shu-ping

College of Physics and Electronic Engineering,Northwest Normal University

关键词:

自适应滤波器; 递推最小二乘算法; 数字信号处理

Keywords:

adaptive filter;  recursive least square algorithm;  digital signal processing

分类号:

TP301.6

文献标志码:

A

摘要:

自适应滤波器一直是随机信号处理当中的一个重要的研究课题,可以不需要预先知道给定信号及噪声的自相关函数,它可以利用前一时刻已获得的滤波器参数自动地调节现时刻的滤波器参数,从而实现最佳滤波。研究了自适应滤波器的基本结构和自适应滤波递推最小二乘（RLS）算法在DSP上的实现,采用定点TMS320VC5416 DSP为平台,通过C语言设计了一个RLS算法的16阶自适应滤波器,在CCS环境下进行仿真结果查看,并通过与MATLAB进行仿真比较。实验结果表明,该滤波器有效、性能良好,实现了较好的滤波功能,在数字信号处理

Abstract:

Adaptive filtering algorithm always becomes one of the important research topics in the processing of random signal.It is unnecessary to know the self-related function about signal and the noise in the adaptive filter in advance, for it can adjust the filter parameter at current time by using the past parameter to work at its best performance.On the basis of research on the structure of adaptive filter and the basic principles of recursive least square（RLS） algorithm realize on the DSP,and a sixteenth order RLS adaptive filter which is designed in C language on the platform of TMS320VC5416 fixed-point DSP, and the RLS algorithm＇s simulation results is compared with the software of MATLAB.The simulation results show that the adaptive filter is valid,achieves a better filtering,and has good application value in the field of digital signal processing

备注/Memo

备注/Memo:

国家自然科学基金资助项目（20927004）; 西北师范大学科技创新工程资助项目（NWNU-KJCXGC-03-24）许国威（1983-）,男,湖北仙桃人,硕士研究生,研究方向为计算机测量与控制和自适应信号处理. 马胜前，教授，硕士研究生导师，研究方向为计算机测量与控制和自适应信号处理

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更新日期/Last Update: 1900-01-01