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Reseach Article

Article:Performance Analysis of Log-map, SOVA and Modified SOVA Algorithm for Turbo Decoder

by Mohammad Salim, R.P. Yadav, S.Ravi kanth
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Number 11
Year of Publication: 2010
Authors: Mohammad Salim, R.P. Yadav, S.Ravi kanth
10.5120/1428-1924

Mohammad Salim, R.P. Yadav, S.Ravi kanth . Article:Performance Analysis of Log-map, SOVA and Modified SOVA Algorithm for Turbo Decoder. International Journal of Computer Applications. 9, 11 ( November 2010), 29-32. DOI=10.5120/1428-1924

@article{ 10.5120/1428-1924,
author = { Mohammad Salim, R.P. Yadav, S.Ravi kanth },
title = { Article:Performance Analysis of Log-map, SOVA and Modified SOVA Algorithm for Turbo Decoder },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 9 },
number = { 11 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume9/number11/1428-1924/ },
doi = { 10.5120/1428-1924 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:20.784014+05:30
%A Mohammad Salim
%A R.P. Yadav
%A S.Ravi kanth
%T Article:Performance Analysis of Log-map, SOVA and Modified SOVA Algorithm for Turbo Decoder
%J International Journal of Computer Applications
%@ 0975-8887
%V 9
%N 11
%P 29-32
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we analyze the BER performance of the log-map and SOVA decoding algorithms for turbo codes over the AWGN and the fading channels, the Rayleigh, the Rician and the Nakagami-m. Also a modification to the SOVA algorithm is proposed to improve its BER performance. Simulation results show that with the proposed modification to the SOVA the BER performance of SOVA is improved. Simulations were done using MATLAB.

References
  1. C. Berrou, A. Glavieux, and P. Thitimasjshima, “Near Shannon Limit Error-Correcting Coding and Decoding: Turbo-Codes,” Proceedings of the IEEE International Conference on Communications, pp. 1064–1070, May 1993.
  2. C.Berrou, and A. Glavieux, “Near Optimum Error Correcting Coding and Decoding: Turbo-Codes,” IEEE Transactions on Communications, vol. 44, no. 10, pp. 1261-1271, October 1996.
  3. Joachim Hagenauer and Lutz Papke , “Iterative Decoding of Binary Block and Convolutional Codes”, IEEE Transactions on Information Theory, vol. 42, No. 2, pp. 429-445, March 1996.
  4. J. Hagenauer and L. Papke, “Decoding ‘Turbo’ codes with the soft output Viterbi algorithm (SOVA),” in Proc. Int. Symp. on Information Theory (Trondheim,Norway, June 1994), p. 164.
  5. Zhongfeng Wang, and Keshab K. Parhi, “High Performance, High Throughput Turbo/SOVA Decoder Design”, IEEE Transaction on Communications, Vol. 51, No. 4, pp. 570-579, April 2003.
  6. S. Papaharalabos, P. Sweeney and B.G. Eva,”Modification of branch metric calculation to improve iterative SOVA decoding of turbo codes”electronics letters 18th September 2003 Vol. 39 No. 19.
  7. T.Gnanasekaran and Dr.K.Duraiswamy,”Application of Scaling factors for MAP and SOVA for Robust Performance in Forward Error Correction” International Journal of Recent Trends in Engineering, Vol 1, No. 3, May 2009.
  8. Jinhong Wu and Branimir R. Vojcic,”Combining Iterative SOVA and Log-MAP Algorithms for Turbo Decoding”2009 IEEE,43rd annual conference, information sciences and systems.
  9. Bernard Sklar, “Digital Communications: Fundamentals and Applications”, Pearson Education, Second Edition, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Log-map SOVA SOVA Algorithm Turbo Decoder