摘要
如何减小符号间干扰(ISI)是数字通信系统中的一个重要课题，脉冲成形滤波器和信道的盲识别技术是其中的两个重要内容，近年来受到越来越多的重视。而目前广泛应用的脉冲成形滤波器是用有限脉冲响应(FIR)数字滤波器实现的，但它的阶数较高。提出采用通用参数滤波器作为基本单元，结合脉冲成形滤波理论，设计出IIR型脉冲成形滤波器的。利用IIR型脉冲成型滤波器的研究成果，进而构成IIR型希尔伯特变换滤波器设计的新方案。
本文分为为三章：
第一章抽样率转换和数字滤波器组的基本概念，介绍了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。第二章阐述通用参数滤波器的理论和优化的方法。第三章IIR型希尔伯特滤波器，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，设计出希尔伯特滤波器。在导师刘泽民教授的指导下，结合脉冲成形滤波器的设计，我们提出了IIR型滤波器设计的新方案。本章给出了设计步骤，并通过仿真证明了其可行性。
How to reduce the Intersymbol Interference (ISI) is one of the significant contents in digital communication system. Pulse Shaping Filter and blind channel identification are two of the most important parts in this field and many researchers have paid lots of attention to them. However, the 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 Hilbert transfer filter, 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 -general parameter filter introduced. Part 3 Hilbert transfer filter theory is introduced,Using the IIR general parameter filter which can consider the phase character as the unit of orthogonal filter banks, we present a new method for designing IIR pulse shaping filter. After this we design the Hilbert transfer filter with the guidance of the professor Liu Zemin. To prove this theory's facility, the simulation results are given next.
引文
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