Signal-to-noise ratio study on pipelined fast fourier transform processor

Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-to-noise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digita...

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Published in:Bulletin of Electrical Engineering and Informatics
Main Author: Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049884764&doi=10.11591%2feei.v7i2.1167&partnerID=40&md5=d8409cdb5635f36e25478b797255b416
id 2-s2.0-85049884764
spelling 2-s2.0-85049884764
Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
Signal-to-noise ratio study on pipelined fast fourier transform processor
2018
Bulletin of Electrical Engineering and Informatics
7
2
10.11591/eei.v7i2.1167
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049884764&doi=10.11591%2feei.v7i2.1167&partnerID=40&md5=d8409cdb5635f36e25478b797255b416
Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-to-noise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digital signal applications such as wireless sensor network, digital video broadcasting and many more. These applications require accuracy in their data communication part, that is why SNR is an important analysis. SNR is a measure of signal strength relative to noise. The measurement is usually in decibles (dB). Previously, SNR studies have been carried out in software simulation, for example in Matlab. However, in this paper, pipelined FFT and SNR modules are developed in hardware form. SNR module is designed in Modelsim using Verilog code before implemented on FPGA board. The SNR module is connected directly to the output of the pipelined FFT module. Three different pipelined FFT with different architectures were studied. The result shows that SNR for radix-8 and R4SDC FFT architecture design are above 40dB, which represent a very excellent signal. SNR module on the FPGA and the SNR results of different pipelined FFT architecture can be consider as the novelty of this paper. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
20893191
English
Article
All Open Access; Bronze Open Access; Green Open Access
author Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
spellingShingle Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
Signal-to-noise ratio study on pipelined fast fourier transform processor
author_facet Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
author_sort Hassan S.L.M.; Sulaiman N.; Shariffudin S.S.; Yaakub T.N.T.
title Signal-to-noise ratio study on pipelined fast fourier transform processor
title_short Signal-to-noise ratio study on pipelined fast fourier transform processor
title_full Signal-to-noise ratio study on pipelined fast fourier transform processor
title_fullStr Signal-to-noise ratio study on pipelined fast fourier transform processor
title_full_unstemmed Signal-to-noise ratio study on pipelined fast fourier transform processor
title_sort Signal-to-noise ratio study on pipelined fast fourier transform processor
publishDate 2018
container_title Bulletin of Electrical Engineering and Informatics
container_volume 7
container_issue 2
doi_str_mv 10.11591/eei.v7i2.1167
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049884764&doi=10.11591%2feei.v7i2.1167&partnerID=40&md5=d8409cdb5635f36e25478b797255b416
description Fast Fourier transform (FFT) processor is a prevailing tool in converting signal in time domain to frequency domain. This paper provides signal-to-noise ratio (SNR) study on 16-point pipelined FFT processor implemented on field-programable gate array (FPGA). This processor can be used in vast digital signal applications such as wireless sensor network, digital video broadcasting and many more. These applications require accuracy in their data communication part, that is why SNR is an important analysis. SNR is a measure of signal strength relative to noise. The measurement is usually in decibles (dB). Previously, SNR studies have been carried out in software simulation, for example in Matlab. However, in this paper, pipelined FFT and SNR modules are developed in hardware form. SNR module is designed in Modelsim using Verilog code before implemented on FPGA board. The SNR module is connected directly to the output of the pipelined FFT module. Three different pipelined FFT with different architectures were studied. The result shows that SNR for radix-8 and R4SDC FFT architecture design are above 40dB, which represent a very excellent signal. SNR module on the FPGA and the SNR results of different pipelined FFT architecture can be consider as the novelty of this paper. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 20893191
language English
format Article
accesstype All Open Access; Bronze Open Access; Green Open Access
record_format scopus
collection Scopus
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