CFP last date
03 June 2024
Reseach Article

Digital Front-End for Software Defined Radio Wideband Channelizer

by Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 6
Year of Publication: 2015
Authors: Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti

Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti . Digital Front-End for Software Defined Radio Wideband Channelizer. Communications on Applied Electronics. 1, 6 ( April 2015), 25-35. DOI=10.5120/cae-1570

@article{ 10.5120/cae-1570,
author = { Adedotun O. Owojori, Temidayo O. Otunniyi, Erastus O. Ogunti },
title = { Digital Front-End for Software Defined Radio Wideband Channelizer },
journal = { Communications on Applied Electronics },
issue_date = { April 2015 },
volume = { 1 },
number = { 6 },
month = { April },
year = { 2015 },
issn = { 2394-4714 },
pages = { 25-35 },
numpages = {9},
url = { },
doi = { 10.5120/cae-1570 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T18:37:44.467112+05:30
%A Adedotun O. Owojori
%A Temidayo O. Otunniyi
%A Erastus O. Ogunti
%T Digital Front-End for Software Defined Radio Wideband Channelizer
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 6
%P 25-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

This paper focused on the design of a digital front end channelizer useful in most software defined radios with the aim of exploiting the vast resources of digital signal processing which helps to achieve a portable, long lasting with extraordinary computational complexity software application that is capable of running at a lower power budget. Three channelization algorithms: per-channel, pipeline frequency transform and poly-phase fast Fourier transform uniform channelization algorithms were reviewed and designed for FM receivers using Altera Digital Signal Processing tool box in MATLAB/Simulink environment. The performance evaluation of the three algorithms were carried out with the estimation of the multiplication per input samples of operation of the system, signal strength level or signal to noise ratio and the compilation time of each algorithm. The result showed that the polyphase fast Fourier transforms and pipeline frequency transform had 24% decrease in computational requirement compared to per-channel which suggest a lower power consumption. Whereas, polyphase fast Fourier transform out performs pipeline frequency transform in terms of silicon cost.

  1. Arkesteijn V. J, Klumperink E. A. M and Nauta B. (2001), An analog front end Architecture for Software Defined Radio. MESA Research Institute, IC design group, University of Twente, Netherlands
  2. Carsten, Kristensen J. T, Gustav, Kingo, and Boye O. (2005), FM Radio Receiver: Real-Time Systems. P5 projekt, AAU, Elektronik og Elektroteknik, Aalborg Universitet
  3. Ching-Hsiang, T. and Sun-Chung, C. (2006), Direct Down Conversion of Multiband RF Signals using Band Pass Sampling, IEEE Transactions on Wireless Communications, Vol. 5, No. 1, pp. 72-76
  4. Dawoud, D. S. and Phakathi, S. E. (2004), Advanced Filter Bank Based ADC for Software Defined Radio Applications. AFRICON 7th Conference in Africa, Vol. 1, pp. 61-66
  5. De Los Santos H. J. (2002), RF MEMS Circuit Design for Wireless Communications. Artech House Micro-Electromechnical System (MEMS) Series Boston, London, pp. 7-16
  6. Donadio M. P. (2000), CIC Filter Introduction. m. p. donadio@ieee. org;:free publication by Iowegian.
  7. Hentschel, T. , Henker M. , and Fettweis G. (1999), The Digital Front- End of Software Radio Terminals, IEEE Personal Communications, pp 6-12.
  8. Jan C. (2011), Transceiver Concepts and Design: Software Defined Radio Front Ends. IMEC, Leuven, Belgium, Multi-mode/ Multi-band RF Transceiver for Wireless Communication, John Wiley & sons, Inc. pp 1-5
  9. Lin Y. (2008), Realizing Software Defined Radio- A Study in Designing Mobile Supercomputers. PhD. Dissertation, Computer Science and Engineering, University of Michigan
  10. Milic L. (2009), Multirate Filtering for Digital Signal Processing Matlab Applications (A Premier Reference Source), University of Belgrade Serbia. Information Science Reference, Hershey, New York
  11. Mohammed, R. (2002), Multi- Rate Processing and Sample Rate Conversion. EE Times Home
  12. Rouphael T. J. (2009), RF and Digital Signal Processing for Software- Defined Radio: A Multi-Standard Multi- Mode Approach
  13. Savir, G. (2006), Scalable and Reconfigurable Digital Front- End for SDR Wideband Channelizer, Msc. Thesis Delft
  14. Shetye, K. A. (2007), Design and Implementation of a Software Defined Radio Receiver for AM Band, M. Sc Thesis Auburn University, pp 19-22
  15. Soudan, M. and Farrell, R. (2009), On Time-Interleaved Analog-to-Digital Converter for Wideband Reconfigurable Radios. Proceedings of The SDR'09 Technical Conference and Product Exposition
Index Terms

Computer Science
Information Sciences


Channelization Multirate Digital Filter Bank Software Defined Radio Digital Down Conversion.