Performance Analysis of Reed-Solomon Codes Concatenated with Convolutional Codes over AWGN Channel

Kattaswamy Mergu

Abstract


With rapid growth in today’s technology, digital communication is playing a major role to provide hostile environment to meet various applications. In this communication, Coding plays a prominent role to contribute error free transmission through channel coding which improves capacity of a channel by adding some redundant bit to the original information. One way to provide a better performance of the communication system is by concatenating different types of channel coding techniques. The concatenation can be done either in parallel or serial. The primary aim of this paper is to concatenate the Reed-Solomon codes with Convolutional codes in series, which provides better results comparing with single coding techniques. The performance of the concatenation of Reed-Solomon codes with Convolutional codes can be evaluated by finding bit error rate with various values of signal-to-noise ratio over AWGN channel. The analytical result has been obtained by using MATLAB/OCTAVE.

Full Text:

PDF

References


B. Sklar, Digital Communications Fundamentals and Applications, Englewood Cliffs, New Jersey:

Clark, G. C., Jr., and Cain, J. B., Error-Correction Coding for Digital Communication, Plenum Press, New York, 1981.

Sudan, M., “Decoding of Reed-Solomon Codes Beyond the Error Correction Bound,” J. Complexity, Vol. 12, 1997, pp. 180–193.

Wicker, S. B., and V. K. Bhargava, (eds.), Reed-Solomon Codes and Their Applications, New York: Wiley-IEEE Press, 1999.

Forney, G. D., Jr., “Convolutional Code II: Maximum Likelihood Decoding,” Inform. Control, Vol. 25, July 1974, pp. 222–266.

Viterbi, A. J., “Convolutional Codes and Their Performance in Communication Systems,” IEEE Trans. Inform. Theory, Vol. IT-17, October 1971, pp. 751–772.

Ramsey, J.L.,”Realization of Optimum Interleavers, IEEE Trans. Inform. Theory, vol. IT-16, no. 3, May 1970, pp 338-345.

Forney, G. D., Jr., Concatenated Codes, Cambridge, Massachusetts: M. I. T. Press, 1966.




DOI: https://doi.org/10.11591/APTIKOM.J.CSIT.100

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 APTIKOM Journal on Computer Science and Information Technologies



ISSN: 2722-323X, e-ISSN: 2722-3221

CSIT Stats

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.