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CIC filter for sample rate conversion in software defined radio

机译：CIC滤波器，用于软件定义的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：软件定义的无线电（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的愿景正在实施单个无线电，可以模拟任何不断发展或已经存在的无线标准的无线电信号。只需更新软件即可通过更新软件即可完成它。同样，不同的空中接口需要用于基带处理的不同采样率。因此，采样率转换（SRC）是SDR的重要功能。 SRC包括样品率降低或抽样和采样率增加或内插。但在梳子集成器梳（CIC）滤波器中的情况下，在抗混叠滤波器（在取消定数）或反成像滤波器（在内插时）起着重要作用。本文介绍了CIC滤波器的基本结构，并说明了表征该过滤器的重要参数。因此，它侧重于DECIMATOR和Interpolator中CIC滤波器的实现。本文还试图找到一种改进该过滤器的特性的技术，并指出与其相关的一些问题。

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