CFP last date
01 May 2024
Call for Paper
June Edition
CAE solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 01 May 2024

Submit your paper
Know more
Reseach Article

Comparative Analysis of Farrow Fractional Structure Rate Converter

by Temidayo O. Otunniyi, Erastus O. Ogunti, Adedotun O. Owojori
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 5
Year of Publication: 2015
Authors: Temidayo O. Otunniyi, Erastus O. Ogunti, Adedotun O. Owojori
10.5120/cae2015651751

Temidayo O. Otunniyi, Erastus O. Ogunti, Adedotun O. Owojori . Comparative Analysis of Farrow Fractional Structure Rate Converter. Communications on Applied Electronics. 2, 5 ( July 2015), 16-28. DOI=10.5120/cae2015651751

@article{ 10.5120/cae2015651751,
author = { Temidayo O. Otunniyi, Erastus O. Ogunti, Adedotun O. Owojori },
title = { Comparative Analysis of Farrow Fractional Structure Rate Converter },
journal = { Communications on Applied Electronics },
issue_date = { July 2015 },
volume = { 2 },
number = { 5 },
month = { July },
year = { 2015 },
issn = { 2394-4714 },
pages = { 16-28 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume2/number5/393-2015651751/ },
doi = { 10.5120/cae2015651751 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:40:10.738054+05:30
%A Temidayo O. Otunniyi
%A Erastus O. Ogunti
%A Adedotun O. Owojori
%T Comparative Analysis of Farrow Fractional Structure Rate Converter
%J Communications on Applied Electronics
%@ 2394-4714
%V 2
%N 5
%P 16-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Optimization of digital filter structure enhances its speed, reduces the filter length and filter coefficients which invariably lower the power consumption of the mobile devices. Reducing the filter operators as well as the coefficients reduces the filter redundancy. This improves the computational performance of the system in terms of memory utilization, bandwidth consumption and power usage. Farrow differential algorithm has improvement over the other existing algorithm such as farrow algorithm and differential algorithm. The algorithm was designed using Altera Digital Signal Processing tool box in MATLAB/ Simulink environment. When implemented it leads to reduction in the computational complexity, power consumption and silicon area. The decimation factor of 260 for a frequency range of 270.70 kHz was used. It also showed that a power gain of 83 dBm was observed as output for the poly-phase farrow differential algorithm compared to polyphase modified farrow with power level of 98dB and polyphase farrow algorithm with power rating of 140dB. Thus a remarkable lower power gain, lower complexity and lower power consumption in mobile system was obtained when compared to polyphase farrow polynomial algorithm and modified farrow algorithm.

References
  1. Rouphael, T.J. (2009). RF and Digital Signal Processing for software Defined Radio. Pp 371-375. Elsevier Inc.
  2. Farrow, C.W. (1988), A Continously Variable Digital Delay Element. 2641-2645. IEEE International Symposium.
  3. Laasko, T., Valimaki, V., Karjalainen, M. and Laine, U. (1996). Splitting the Unit Delay. IEEE Signal Processing Magazine. Vol. 13. Pp: 30-60.
  4. Valimaki,V, (2000) A new filter implementation strategy for Lagrange interpolation,”Proc. IEEE Int. Symp. Circuits and Systems, pp. 361–364,
  5. Hermanowicz, E. (2004), On designing a wideband fractional delay filter using the Farrow approach,” in Proc. EUSIPCO’2004, Austria, Sep. 6–10, pp. 961–964.
  6. Farrow,C.W .(1988), A continuously variable digital delay element,” in Proc. IEEE ISCAS’88, Espoo, Finland, 1988, pp. 2641–2645.
  7. Blok, M. (2005), Farrow structure implementation of fractional delay filter optimal in Chebyshev Sense, in Proc. SPIE, vol. 6159, Wilga, Poland, p. 61594.
  8. Harris, F. J. (1997), Performance and design of Farrow filter used for arbitrary resampling, in Proc. DSP’97, vol. 2, Santorini, Greece, 1997, pp. 595– 599.
  9. Hentschel, T., Henker M., and Fettweis G. (1999), The Digital Front- End of Software Radio Terminals, IEEE Personal Communications, pp 6-12.
  10. Ching-Hsiang, T. and Sun-Chung, C. (2006), Direct Down Conversion of Multiband RF Signals using Band Pass sampling, IEEE Transactions on Wireless Communicationsm Vol. 5, No 1, pp 72 - 76
  11. Johansson, .H and Lowenborg, P. (2003), On the design of adjustable fractional delay fir filters. Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, 50(4):164– 169.
  12. Hakan Johansson. (2011), Farrow-structure-based reconfigurable bandpass linear-phase fir filters for integer sampling rate conversion. Circuits and Systems II: Express Briefs, IEEE Transactions on, 58 (1):46–50.
  13. Otunniyi T.O, Owojori A.O, Ogunti, E.O., Ponnle, A.A (2015): low complexity farrow differential channelizer algorithm. Communications on applied electronics 1(6): pp36-42, published by foundation of computer science, New York, USA
  14. Owojori A.O, Otunniyi T.O, Ogunti, E.O. (2015): Digital front-end for software wideband channelizer. Communications on applied electronics 1(6): pp36-42, published by foundation of computer science, New York, USA
  15. Mohammed, R. (2002), Multi- Rate Processing and Sample Rate Conversion. EE Times Home.
Index Terms

Computer Science
Information Sciences

Keywords

Farrow Differential algorithm Modified Farrow Farrow algorithm Channelization Multirate Digital Filter Bank Software Defined Radio Digital-Down Conversion