Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver
Hassan, A., Shokair, M., Abou Elazem, A., Schlegel, C., Truhachev, D. (2010). Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver. EKB Journal Management System, 20(1), 19-28. doi: 10.21608/mjeer.2010.66789
Alaa Eldin Hassan; M. Shokair; Atef Abou Elazem; C. Schlegel; D. Truhachev. "Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver". EKB Journal Management System, 20, 1, 2010, 19-28. doi: 10.21608/mjeer.2010.66789
Hassan, A., Shokair, M., Abou Elazem, A., Schlegel, C., Truhachev, D. (2010). 'Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver', EKB Journal Management System, 20(1), pp. 19-28. doi: 10.21608/mjeer.2010.66789
Hassan, A., Shokair, M., Abou Elazem, A., Schlegel, C., Truhachev, D. Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver. EKB Journal Management System, 2010; 20(1): 19-28. doi: 10.21608/mjeer.2010.66789

Investigation of Turbo Code Polynimials under Constraints Length Four and Deterministic Interleaver

Menoufia Journal of Electronic Engineering Research
Article 8, Volume 20, Issue 1, January 2010, Page 19-28  XML
Document Type: Original Article
DOI: 10.21608/mjeer.2010.66789
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Authors
Alaa Eldin Hassan1; M. Shokair2; Atef Abou Elazem2; C. Schlegel3; D. Truhachev4
1Dept. Space Science, National Authority for Remote Sensing and Space Science (NARSS), Cairo, Egypt.
2Dept. Electrical Communication, El-Minufiya University, Menouf, Egypt.
3Dept. of Computing Science University of Alberta, Edmonton, Canada
4Dept. of Computing Science University of Alberta, Edmonton, Canada.
Abstract
Turbo coding Technique is one from very powerful error correction techniques that have made a tremendous impact on channel coding in the last few years. It had been recommended for increased capacity at higher transmission rates due to their superior performance over conventional codes. Recursive systematic convolutional (RSC) turbo code uses two polynomials in its encoding circuit which are feed-forward and feed-back polynomials. Those polynomials make great effects on performance of turbo codes in all regions. In this paper, the primitive and non-primitive polynomials will be investigated which are not clarified until now. Their effects on the performance in water-fall region and error floor regions will be elaborated. The minimum Hamming distance and their multiplicities are the criteria for comparison. Simulation results over the AWGN channel show that primitive polynomials in the Feed-back and feed-forward can achieve better performance at high SNR by improving the minimum distance (large minimum distance) which leads to decrease BER in the region of high signal to noise ratio to be used in the satellites new missions. Moreover, the results give a larger minimum distance by factor of 1.12dB compared with the CCSDS interleaver. The simulation is applied for frame length 1784, and code rate 1/2.
References
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