Abstract
This paper aims to design and implement the very efficient turbo product codes decoding technique for errorless signal reception. The turbo product codes (TPC) are finding a wide range of applications in the communication field where ever highest data rate is required is selected for the design. The message is encoded to form the TPC such that a k × k message will be converted into an n × n TPC. The signal is transmitted through the AWGN channel. Iterative Chase-Pyndiah type 2 decoding algorithm is followed in the decoding section. This decoding technique can decode the transmitted codeword with very much less probability of errors as well as have a very low decoding complexity and is also efficient in achieving the highest data rate. The (n, k, d) hamming codes are selected for the design, because of its properties like the highest code rate, ability to correct the single-bit error and identify multiple bit errors. The hardware is implemented in the **linx FPGA platform.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cho, W.S.J.: Reduced complexity Chase-Pyndiah decoding algorithm for turbo product codes. In: IEEE Workshop on Signal Processing Systems, Beirut, Lebanon, pp. 210–215 (2011)
A.-D. A. J. A.-Q. M. A. Muaini, S. A. A.: Ber performance of non-sequential turbo product codes over wireless channels. In: IEEE GCC Conference and Exhibition (GCC), pp. 93–96 (2011)
Wang, Y.F.F.-G., Tang, Y.: The iterative decoding algorithm research of turbo product codes. In: Proceedings of ICACIA, pp. 97–100 (2010)
Y. L. G. . O. S. . M. S. . H. C. Kee: Turbo decoding of product code based on SPC component decoding. In: International Conference on Communications, Circuits and Systems (2004)
Argon, S.W.M.C.: An efficient chase decoder for turbo product codes. IEEE Trans. Commun. 52, 896–898 (2004)
Xu, C.: Shortened turbo product codes: encoding design and decoding algorithm. IEEE Trans. Vehicular Technol. 56, 495–509 (2007)
Landolsi, M.A.: A comparative performance and complexity study of short-length LDPC and turbo product codes. In: 2nd International Conference on Information Communication Technologies, vol. 2 (2006)
He1, Y., Ching, P.: Performance evaluation of adaptive two-dimensional turbo product codes composed of hamming codes. In:Proceedings of the 2007 IEEE International Conference on Integration Technology (2007)
Guo Tai Chen, L.C.: Test-pattern-reduced decoding for turbo product codes with multi-error-correcting eBCH codes. IEEE Trans. Commun. 57, 307–310 (2009)
Erl-Huei Lu, P.-Y.L.: A syndrome-based hybrid decoder for turbo product codes. In: International Symposium on Computer, Communication, Control and Automation, vol. 2, pp. 208–210 (2010)
Burr, A.: Turbo Codes: the ultimate error control codes. Electronics Commun. Eng. J. 2, 155–165 (2011)
Prasad, N.-R.V.: OFDM for Wireless Communications Systems (2004)
Rappaport, S.: 2002 Wireless Communications Principles and Practice (2011)
Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 379–423, 623–656 (2004)
Wicker, S.B.: Error Control Systems for Digital Communications and Storage
Salija, P., Yamuna, B.: Implementation of turbo code with early iteration termination in GNU radio. J. Telecommun. Electronic Comput. Eng. 9, 53–59 (2017)
Sudharsan A., Vijay Karthik, V.B., Vaishnavi, V.C., Abirami J.S.D.S., Yamuna, E.B.: Perfomance enhanced ıterative soft ınput soft output decoding algorithms for block turbo codes. J. Telecommun. Electronic Comput. Eng. 8
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Greeshma, M.G., Murugan, S. (2021). FPGA Implementatıon of Turbo Product Codes for Error Correctıon. In: Karuppusamy, P., Perikos, I., Shi, F., Nguyen, T.N. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-15-8677-4_16
Download citation
DOI: https://doi.org/10.1007/978-981-15-8677-4_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8676-7
Online ISBN: 978-981-15-8677-4
eBook Packages: EngineeringEngineering (R0)