2016Unpublished venueRequires access

FIR filter compensator for CIC filter suitable for software defined radio

Devarpita Sinha, Sanjay Kumar

Open publisher page 4 citations

Abstract

Software Defined Radio (SDR) supports different wireless standards in a single radio device. This can be done by digital signal processing. In digitized form different wireless standards requires different sample rates for baseband processing. Sample rate conversion (SRC) is required for this purpose. In SRC, Comb-Integrator-Comb (CIC) filter plays an important role. Multistage CIC filter provides better stopband characteristics but passband response deteriorates. A FIR filter cascaded in series with CIC filter provides desired transition band. This paper discusses about basic characteristics and structure of FIR filter. Then it discusses the implementation of FIR filter as decimator and interpolator, poly-phase implementation of FIR filter and shows the simulated response of CIC filter when cascaded with FIR filter. Lastly, it also tries to implement CIC filter efficiently in polyphase representation.

About this research paper

What this paper is about

Software Defined Radio (SDR) supports different wireless standards in a single radio device. This can be done by digital signal processing. In digitized form different wireless standards requires different sample rates for baseband processing. Sample rate conversion (SRC) is required for this purpose. In SRC, Comb-Integrator-Comb (CIC) filter plays an important role. Multistage CIC filter provides better stopband characteristics but passband response deteriorates. A FIR filter cascaded in series with CIC filter provides desired transition band. This paper discusses about basic characteristics and structure of FIR filter. Then it discusses the implementation of FIR filter as decimator and interpolator, poly-phase implementation of FIR filter and shows the simulated response of CIC filter when cascaded with FIR filter. Lastly, it also tries to implement CIC filter efficiently in polyphase representation.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Software Defined Radio (SDR) supports different wireless standards in a single radio device. This can be done by digital signal processing. In digitized form different wireless standards requires different sample rates for baseband processing. Sample rate conversion (SRC) is required for this purpose. In SRC, Comb-Integrator-Comb (CIC) filter plays an important role. Multistage CIC filter provides better stopband characteristics but passband response deteriorates. A FIR filter cascaded in series with CIC filter provides desired transition band. This paper discusses about basic characteristics and structure of FIR filter. Then it discusses the implementation of FIR filter as decimator and interpolator, poly-phase implementation of FIR filter and shows the simulated response of CIC filter when cascaded with FIR filter. Lastly, it also tries to implement CIC filter efficiently in polyphase representation.

Key concepts: Cascaded integrator–comb filter, Software-defined radio, Computer science, Root-raised-cosine filter, Filter design, Electronic engineering, Half-band filter, Butterworth filter

Related papers

Back to paper searchBrowse research topicsOriginal source
FIR filter compensator for CIC filter suitable for software defined radio — Research Paper | ScholarLens