改进补偿锐化CIC抽取滤波器的特性

G. Dolecek
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引用次数: 1

摘要

考虑到总抽取因子可以表示为两个整数的乘积,提出了一种改进补偿锐化级联积分梳(CIC)抽取滤波器抗混叠性和降低复杂度的新方法。提出了两级抽取结构。在第一阶段是由第一抽取因子抽取的CIC滤波器,而在第二阶段是由第二抽取因子抽取的锐化CIC滤波器。复杂度用每个输出样本(APOS)的加法器数量来表示。在所提出的结构中,在提高混叠抑制和降低复杂性之间存在权衡。该补偿器采用粒子群优化(PSO)设计,在抽取后的低速率下工作。锐化多项式是从文献中使用的。用实例说明了该方法。与现有技术的比较表明了所提出方法的优点。
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Improving Characteristics of Compensated Sharpened CIC Decimation Filters
This paper presents a novel method to improve aliasing rejection and decrease complexity in the compensated sharpened cascaded-integrated-comb (CIC) decimation filters, considering that the overal decimation factor can be presented as a product of two integers. Two-stage decimation structure is proposed. In the first stage is a CIC filter decimated by the first decimation factor, while in the second stage is the sharpened CIC filter decimated by the second decimation factor. The complexity is expressed in terms of the numbers of adders per output samples (APOS). There is a trade-off between the increasing the aliasing rejection and the complexity decreasing, in the proposed structure. The compensator is designed using particle swarm optimization (PSO) and works at low rate i.e. after decimation. The sharpening polynomials are used from literature. The method is ilustrated with examples. The comparisons with the state of the art show the advantages of the proposed method.
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