Performance Improvement of Turbo Product Code using Closed Chain Error Pattern Decoding in OFDM system
Varunkumar B Mishra, Trushita Chaware and Rajesh S Bansode. Article: Performance Improvement of Turbo Product Code using Closed Chain Error Pattern Decoding in OFDM system. IJCA Proceedings on International Conference and Workshop on Emerging Trends in Technology 2014 ICWET 2014(2):1-5, May 2013. Full text available. BibTeX
@article{key:article,
author = {Varunkumar B. Mishra and Trushita Chaware and Rajesh S. Bansode},
title = {Article: Performance Improvement of Turbo Product Code using Closed Chain Error Pattern Decoding in OFDM system},
journal = {IJCA Proceedings on International Conference and Workshop on Emerging Trends in Technology 2014},
year = {2013},
volume = {ICWET 2014},
number = {2},
pages = {1-5},
month = {May},
note = {Full text available}
}
Abstract
The evaluation of bit error rate (BER) performance for various two dimensional turbo product codes (TPCs) is discussed. The turbo product code decoder is implemented using hard input hard output data, which is impaired by additive white Gaussian noise (AWGN). The effectiveness of the iterative TPC BER is evaluated using non sequential decoding. OFDM is a suitable candidate for high performance of wireless communication systems. OFDM transceiver will be implemented. The use of turbo product coding and power allocation in OFDM is useful to the desired performance at higher data rates. Simulation coding is done over additive white Gaussian noise (AWGN) and impulsive noise (which is produced in broadband transmission) channels. Simulation results demonstrated that, for particular codes, noticeable coding gain improvement of about 2 dB is achieved when compared to the standard sequential HIHO decoding and about 0. 8 dB when compared to the non sequential HIHO decoding. The computational complexity of the CCEP decoder is substantially reduced at moderate and high signal to noise ratios by stopping the iterative process when it is not more beneficial to perform further iterations.
References
- C. Shannon, A mathematical theory of communication, Bell Syst. Tech. J. , vol. 27, 1948.
- R. Pyndiah, A. Glavieux, A. Picart and S. Jacq, "Near optimum decoding of product codes," in Proc. IEEE GLOBECOM 1994, vol. 1, pp. 339 - 343.
- R. Pyndiah, "Near optimum decoding of product codes: block turbo codes," IEEE Trans. Commun. , vol. 46, no. 8, pp. 1003-1010,Aug. 1998.
- O. Sab, "FEC techniques in submarine transmission systems," in Proc. OFC 2001, vol. 2, 2001, pp. TuF11 TuF13.
- A. Al Dweik, B. Sharif, "Nonsequential decoding algorithm for hard iterative turbo product codes," IEEE Trans. Commun. vol. 57, pp. 15451549, June, 2009.
- R. Pyndiah and P. Adde, "Performance of high code rate BTC for nontraditional applications," in Proc. Int. Symp. Turbo Codes Related Topics, 2003, pp. 157-160.
- G. Bosco, G. Montorsi, and S. Benedetto, "A new algorithm for "hard" iterative decoding of concatenated codes," IEEE Trans. Commun. , vol. 51, no. 8, pp. 1229-1231, Aug. 2003.
- J. Andersen, "Product codes for optical communications," in Proc. ECOC 2002, vol. 3, 2002, pp. 1-2.
- S. A. Al. J. Al Dweik, and M. A. Al Qutayri Muaini, "Ber Performance Of Non sequential Turbo Product codes Over wireless Channels",IEEE 2011 GCC conference and Exhibition,19-22,2011 Feburary.