基于通用参数滤波器的IIR型希尔伯特变换器的设计
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摘要
目前广泛应用的希尔伯特变换器是用有限冲激响应(FIR)数字滤波器实现的,但它的阶数较高。因而提出采用通用参数滤波器作为基本单元,结合希尔伯特变换器的设计理论,构成IIR型希尔伯特变换器设计的新方案。
     本文分为三章:
     第一章为通用参数滤波器的基本理论部分,介绍了抽样率转换和数字滤波器组的基本概念,多速率信号处理的基本概念和理论,数字滤波器组的基本知识,是第二章的理论基础。第二章为基于通用参数滤波器的IIR型希尔伯特变换器的分析部分,引入了具有能考虑相位特性的通用参数滤波器作为构成单元,在导师刘泽民教授的指导下,提出了一种希尔伯特变换器的新方案,本章给出了详细的分析过程。第三章介绍了IIR型希尔伯特变换器的设计过程,最后进行了仿真验证。
     第二章和第三章是论文的主要内容。
The Hilbert Transformer used at present adopt Finite Impulse Response(FIR) digital filter which used as a Pulse Shaping Filter popularly at present has the disadvantages such as high orders.So we present a new approach to design the IIR Hilbert Transformer,whose basic unit is general parameter filter.This paper has been divided into three parts. Part 1, the basic theories of multirate digital signal processing and digital filter banks have been reviewed. On the basis of Part 1,Part 2 - IIR Hilbert Transformer theory is introduced.Part 2,Using the general parameter filter which can consider the phase character as the unit of orthogonal filter banks,we present a new method for designing IIR Hilbert Transformer with the guidance of the professor Zemin Liu.To prove this theory's facility,the simulation results are given as follow.Part 3, we make a simulation to verify it.Part 2 and Part 3 are the central contents of this article.
引文
[1] P.R.Vaidyanathan.Multirate Digital Filters, Filter Banks,Polyphase Netwoks,and Applications: A Tutorial. Proceedings of the IEEE,Volume: 78, Issue: 1, Jan. 1990
    [2] Sanjit K.Mitra. Digital Signal Processing---A Computer-Based Approach, Second Edition, McGraw-Hill, Jan. 2001
    [3] 刘泽民.通用参数滤波器,电子学报,No.3,May 1981
    [4] 周正,刘泽民.通带衰减最大平坦型通用参数滤波器.通信学报,1984,5(4).
    [5] 宗孔德.多抽样率信号处理,清华大学出版社,1996年7月
    [6] Zhou Zheng, Liu Ze-min. "General Parameter Filter with Passband Amplitude Maximum Flat Approximation,", Journal of China Institute communications, No.4,1984,
    [7] 刘泽民,李学斌.M带均匀最大抽取滤波器组.电子与信息学报,2003.
    [8] Simon Haykin. Adaptive Filter Theory, Third Edition, Prentice Hall, Oct. 1999,
    [9] William A. Gardner. Cyclostationarity in Communications and Signal Processing, IEEE Press, 1994
    [10] 蔡文涛 脉冲整形与匹配滤波器的设计以及CDMA多载波系统简析[硕士学位论文],北京邮电大学图书馆,北京邮电大学,Apr.2003
    [11] Lang Tong, Guanghan Xu, Hassibi, and T.Kailath. Blind Channel Identification Based on Second-Order Statistics: A Frequency-Domain Approach. IEEE Trans. On Information Theory, Vol. 41, No.1, Jan.1995.
    [12] Anna Scaglione, Georios B.Giannakis, Sergio Barbarossa. Redundant Filterbank Precoders and Equalizers Part Ⅱ: Blind Channel Estimation, Synchronization,and Direct Equalization. IEEE Trans. On signal processing, Vol.47. NO.7, July 1999.
    [13] 李学斌.多率滤波器组及子带变换图像水印的研究[博士学位论文],北京邮电大学图书馆,北京邮电大学,Dec.2002
    [14] 余志钦 多率滤波器组在信道的盲识别和均衡中的应用[硕士学位论文],北京邮电大学图书馆,北京邮电大学,Apr.2004
    [15] 冯康.数值计算方法.国防工业出版社,1978
    [16] Andrey V.Kisel.An Extension of Pulse Shaping Filter Theory.IEEE TRANSACTIONS ON COMMUNICATION,VOL.47,NO.5,MAY 1999
    [17] Georgios B.Giannakis,Fellow, IEEE.Filterbanks for Blind Channel Identification and Equalization.IEEE SIGNAL PROCESSING LETTERS,VOL.4,NO.6,JUNE 1997
    [18] Markus Lang.Allpass Filter Design and Applications.IEEE TRANSACTIONS ON SIGNAL PROCESSING,VOL.46,NO.9,SEPTEMBER 1998
    [19] Ivan W.Selesnick, Member, IEEE.The Design of Approximate Hilbert Transform Pairs of Wavelet Bases.IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL.50,NO.5,MAY 2002
    [20] Lang Tong,Member, IEEE, Guanghan Xu,Member, IEEE,B.Hassibi, Student Member, IEEE,and T.Kailath,Fellow, IEEE,Blind Channel Identification Based on Second-Order Statistics:A Frequency-Domain Approach.IEEE TRANSACTIONS ON INFORMATION THEORY, VOL.41,NO.1,JANUARY 1995