Call for Paper

CAE solicits original research papers for the May 2023 Edition. Last date of manuscript submission is April 30, 2023.

Read More

Analysis of Structure of Efficient Encoding Approach of Turbo Decoder

SocButtons v1.5

Khushbu Shah, Brijesh Vala Published in Communications

Analysis of Structure of Efficient Encoding Approach of Turbo Decoder
Communications on Applied Electronics
Year of Publication: 2015
© 2014 by CAE Journal
Series Volume 1 Number 3
Authors Khushbu Shah, Brijesh Vala
10.5120/cae-1528
Download full text

Khushbu Shah and Brijesh Vala. Article: Analysis of Structure of Efficient Encoding Approach of Turbo Decoder. Communications on Applied Electronics 1(3):22-24, February 2015. Published by Foundation of Computer Science, New York, USA. BibTeX

@article{key:article,
	author = {Khushbu Shah and Brijesh Vala},
	title = {Article: Analysis of Structure of Efficient Encoding Approach of Turbo Decoder},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {1},
	number = {3},
	pages = {22-24},
	month = {February},
	note = {Published by Foundation of Computer Science, New York, USA}
}

Abstract

To deal with n numbers of user simultaneously and error free communication with maximum utilization of limited spectrum, BER(bit error rate) improvement is an open challenge for communication engineers. In this paper work is an attempt to implement such an error control code Turbo code in which BER improve by using various efficient encoding and decoding designs. Turbo code provides modest decoding complexity for large block length and better bit error rate as compared to other code. According to [7] RSC encoder provides minimum error probability is implemented. For testing AWGN wireless channel is used. Recursive structure along with BPSK modulation is used. The decoding algorithm such as Viterbi algoritm,MAP(maximum a posterior),BCJR (bahl, cocke, jelinek and raviv)can be used .

Reference

  1. "Information Theory and Coding" By-Ranjan Bose
  2. "Mathematical methods and algorithms" By- Todd K. Moon
  3. "Digital Communications Fundamentals and Applications" By- Bernard Sklar
  4. "A Practical Guide to Error-Control Coding Using MATLAB" By-Yuan Jiang
  5. Nabeel Arshad, Abdul Basit,"Implementation and Analysis of Turbo Codes Using MATLAB", Journal of Expert Systems (JES) 2013
  6. http://en. m. wikipedia. org/wiki/coding_thepy
  7. Nabeel Arshad, Abdul Basit," Implementation and Analysis of Turbo Codes Using MATLAB", Journal of Expert Systems (JES) 2013
  8. Ioannis A. Chatzigeorgiou, Miguel R. D. Rodrigues, Ian J. Wassell and Rolando Carrasco" A Comparison of Convolutional and Turbo Coding Schemes For Broadband FWA Systems"
  9. L. Hadj Abderrahmane, M. Bacha and A. Mebrek" A New Optimised Interleaver Structure for Turbo Coding", 978-1-4799-3010-9/14/$31. 00 ©2014 IEEE
  10. A. Al-Dweik,S. Le Goff, and B. Sharif ," A Hybrid Decoder for Block Turbo Codes", 0090-6778/09$25. 00 c 2009 IEEE
  11. Chair of Wireless Communications, Poznan University of Technology, Poznan, Poland,"Decoding of Serial Concatenated Convolutional Codes Using Log-MAP Delta Algorithm", 978-1-4577-1473-3/12/$26. 00 ©2012 IEEE
  12. Ibrahim S. Raad, Mehmet Yakan "Implementation of a turbo codes test bed in the Simulink environment", 0-7803-9243-4/05/$20. 00 ©2005 IEEE
  13. Pen-Yao Lu, Erl-Huei Lu, and Tso-Cho Chen,"An Efficient Hybrid Decoder for Block Turbo Codes",IEEE 2014
  14. Zhongfeng Wang and Keshab K. Parhi," High Performance, High Throughput Turbo/SOVA Decoder Design", 0090-6778/03$17. 00 © 2003 IEEE
  15. Punya THITIMAJSHMA "Recursive Systematic Convolutional Codes And Application To Parallel Concatenation", 0-7803-25091-5/95 US$4. 00 0 1995 IEEE

Keywords

BER (bit error rate), RSC (Recursive systematic codes)