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CIC filter for sample rate conversion in software defined radio

机译：CIC滤波器，用于软件无线电中的采样率转换

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Software Defined Radio (SDR) or Software Radio is one of the most important technologies for the modern wireless communication system. The vision of SDR is implementing a single radio that can emulate any radio signal of evolving or already existing wireless standards. It can be done simply by updating software without replacing the underlying hardware platform. Again, different air interface requires different sample rate for baseband processing. So, Sample Rate Conversion (SRC) is an important functionality of SDR. SRC includes both sample rate reduction or decimation and sample rate increase or interpolation. But in both the cases Comb Integrator Comb (CIC) filter plays an important role as anti-aliasing filter (in case of decimation) or anti-imaging filter (in case of interpolation). This paper describes the basic structure of CIC filter and illustrates important parameters to characterize this filter. Consequently it focuses on implementation of CIC filter in decimator and interpolator. This paper also tries to find a technique to improve the characteristics of this filter and point out some problems associated with it.
机译：软件无线电（SDR）或软件无线电是现代无线通信系统中最重要的技术之一。 SDR的愿景是实现单个无线电，该无线电可以模拟不断发展的或已经存在的无线标准的任何无线电信号。只需更新软件即可完成，而无需替换底层硬件平台。同样，不同的空中接口需要不同的采样率进行基带处理。因此，采样率转换（SRC）是SDR的重要功能。 SRC包括采样率降低或抽取以及采样率增加或插值。但是在这两种情况下，梳状积分梳状（CIC）滤波器都起着抗混叠滤波器（抽取时）或抗成像滤波器（插值时）的重要作用。本文介绍了CIC滤波器的基本结构，并说明了表征该滤波器的重要参数。因此，它着重于抽取器和内插器中CIC滤波器的实现。本文还试图找到一种改善该滤波器特性的技术，并指出与之相关的一些问题。

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