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研究生: 鄧光祥
kuang-hsiang teng
論文名稱: 數位適應性濾波器的設計與實現
Design and implementation of the digital adaptive filter
指導教授: 邱炳樟
bin-chang chieu
口試委員: 徐敬文
ching-wen hsue
黃忠偉
jong-woei whang
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2005
畢業學年度: 93
語文別: 中文
論文頁數: 63
中文關鍵詞: 適應性濾波器共軛梯度法最佳化濾波器格狀濾波器硬體描述語言最小均方演算法正規化最小均方演算法遞迴最小均方演算法
外文關鍵詞: verilog, Xilinx, RLS, NLMS, FIR, HDL, LMS, Synplify, modelsim
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數位適應性濾波器的設計與實現
學生:鄧光祥 指導教授:邱炳樟
國立台灣科技大學電子研究所碩士班
中華民國 九十四 年 七 月

中文摘要

本論文主要是介紹數位系統的通道衰變的適應性濾波器的設計實作,而適應性濾波器最大的功用就是用來處理隨機程序產生的干擾,這中間的關聯性非常大,所以本論文首先說明適應性濾波器的應用,然後說明最佳化濾波器的理論,隨後導入適應性濾波器的架構,之後介紹一些常用的適應性演算法,最後用RLS與NLMS適應性演算法藉由硬體描述語言hardware descript language(HDL)來實現簡單的數位適應性濾波器硬體電路,在此是用verilog的語法來作一實現。再用軟體模擬驗證,把它的電路圖秀出,最後對未來研究方向做個討論。


Abstract

Adaptive filter is the most important structure to many application.,the use of adaptive filter has become popular. echo cancellation, channel equalization……… are the typical applications. In the thesis , the RLS and NLMS filtering algorithms with verilog are implemented. Verilog is a hardware descript language . the task of it is to implement the electronic structure that people want to implement.
RLS is a common algorithm for adaptive filter .It has very good performance,but its structure is complex because of the operation of divider ,the goal is to reduce the complexity and implement the architecture with the software,Xilinx .
NLMS algorithm is an another popular adaptiving algorithm , its structure is easier than RLS structure, the goal of designing NLMS is to improve the rate of converge of LMS ,so it can converge faster than LMS.
The design is evaluated in the platform of Xilinx and the thesis concludes the validility and performance of optimum filter、the common adaptive algorithm and the application of adaptive filter.the content will derivative the process and descript the point in detail.

目 錄 abstract…………………………………………………………I 中文摘要………………………………………………………II. 誌謝…………………………………………………………III 第一章 序論 1.1 前言……………………………………………………1 1.2 研究動機與目的………………………………………1 1.3 內容大綱……………………………………………2 第二章 適應性濾波器概論 2.1 隨機信號處理…………………………………………3 2.2 適應性濾波器的特色…………………………………4 2.3 適應性濾波器的主要應用…………………………5 第三章 最佳化濾波器演算架構 3.1 wiener-hopf equation…………………………13 3.2 舒爾演算法………………………………………15 3.3 wiener filter……………………………………16 3.4 LS filter…………………………………………17 3.5 kalman filter……………………………………18 第四章 數位適應性濾波器 4.1 數位系統與適應性濾波器關係……………………20 4.2 數位濾波器架構……………………………………21 4.3 適應性濾波器的特性………………………………22 4.4 常見的適應性演算法 4.4.1 LMS演算法…………………………24 4.4.2 NLMS演算法…………………………25 4.4.3 vss LMS演算法………………………26 4.4.4 共軛梯度演算法………………………28 4.4.5 Godard 演算法………………………29 4.4.6 Signed Godard演算法………………30 4.4.7 adaptive least square演算法………30 4.4.8 RLS演算法……………………………32 第五章 適應性濾波器實做 5.1 適應性濾波器實作簡介……………………………37 5.2 HDL介紹……………………………………………38 5.3 verilog介紹………………………………………39 5.4 實作環境介紹………………………………………40 5.5 捨去產生的雜訊……………………………………42 5.6 FIR架構……………………………………………42 5.7 除法器………………………………………………43 5.8 實作結果與驗證 5.8.1 RLS的RTL結果…………………………………45 5.8.2 RLS的驗證………………………………………51 5.8.3 NLMS結果…………………………………………56 5.8.3 NLMS的驗證………………………………………56 5.8.4 NLMS 的RTL結果…………………………………58 第六章 結論…………………………………………………………61 參考文獻…………………………………………………………63

Reference
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