Browse > Article

Performance of Serial Concatenated Convolutional Codes according to the Concatenation Methods of Component Codes  

Bae, Sang-Jae (경북대학교 전자전기공학부)
Lee, Sang-Hoon (경북대학교 전자전기공학부)
Joo, Eon-Kyeong (경북대학교 전자전기공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.1A, 2002 , pp. 18-25 More about this Journal
Abstract
In this paper, the performance of three types of serial concatenated convolutional codes (SCCC) in AWGN (additive white Gaussian noise) channel is compared and analyzed. As results of simulations, it can be observed that Type I shows the best error performance at lower signal-to-noise ratio (SNR) region. However, Type III shows the best error performance at higher SNR region. It can be also observed the error floor that the performance cannot be improved even though increasing of the number of iterations and SNR at Type I. However, the performance of Type II and Type III are still improved over the five iterations at higher SNR without error floor. And BER performance of three types can be closed to upper bound of three types with increase of SNR. It can be also observed that the upper bound of Type III shows the best performance among the three types due to the greatest free distance.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Benedetto, G. Montorsi, D. Divsalar, and F. Pollara, 'Serial concatenadon of interleaved codes: Performance analysis, design, and iterative decoding,' IEEE Trans. Inform. Theory, vol. 44, no. 3, pp. 909-926, May 1998   DOI   ScienceOn
2 A. J. Viterbi and J. K. Omura, Principles of Digitat Communication and Coding, McGraw Hill Book Co., NY., 1979
3 L. R. Bahl, J. Cocke, F. Jelinek, and J. Raviv 'Optimal decoding of linear code for minizing symbol error rate,' IEEE Trans. Inform. Theory, vol. 20, no. 2, pp. 284-287, Mar. 1974
4 P. Robertson, 'Illuminating the structure of parallel concatenated recursive systematic (turbo) codes,' Proc. IEEE Gtobecom '94, San Fransisco, California, pp. 1298-1303, Nov. 1994
5 S. Benedetto, D. Divsalar, G. Montorsi, and F. Pollara, 'Soft-output decoding algorithms in iterative decoding of turbo codes,' The TDA Progress report 42-124, Pasadena, California, pp. 63-87, Feb. 15, 1996
6 J. Hagenauer, "The turbo principle: tutorial introduction and state of the art,' Proc. Int. Symp. on Turbo Codes and Retated Topics, Brest, France, pp. 1-11, Sep. 1997
7 A. Ambroze, G. Wade, and M. Tomlinson, 'Iterative MAP decoding for serial concatenat-ed convolutional codes,' Proc. 1EE Commun., vol. 145, no. 2, pp. 53-59, Apr. 1998   DOI   ScienceOn
8 C. Berrou and A. Glavieux, 'Near optimum error correcting coding and decoding: Turbo-codes,' lEEE Trans. Commun., vol. 44, no. 10, pp. 1261-1271, Oct. 1996   DOI   ScienceOn
9 S. Benedetto and G. Montorsi, 'Sehal concatenation of block and convolutional codes,' Electron. Lett., vol. 32, pp 887-888, May 1996   DOI   ScienceOn
10 J. Rolf and Sh.Z. Kamil, fundamentals of ConvoIutionaI Coding, IEEE Press, NJ., 1999
11 B. Vucetic and J. Yuan, Turbo Codes Principles and Applications, Kluwer Academic, Mass., 2000
12 P. Robertson, E. Villenm, and P. Hoeher, 'A comparison of optimal and sub-optimal MAP decoding algorithms operating in log domain,' Proc. IEEE ICC'96, Dallas, Texas, vol. 2, pp. 1009-1013, June 1995
13 S. Dolinar and D. Divsalar, 'weight distribu-tions for turbo codes using random and nonrandom permutations,' The TDA Progress report 42-122, Pasadena, California, pp. 56-65, Aug. 15, 1995
14 S. S. Pietrobon and A. S. Barbulescu, 'A simplification of the modified Bahl decoding algorithm for systematic convolutional codes,' Proc. IEEE ISITA'94, Sydney, Australia, pp. 1073-1077, Nov. 1994
15 D. Divsalar and F. Pollar, 'On the design of Tinbo codes,' JPL TDA Progress Report 42-123, Pasadena, California, pp. 99-121, Nov. 1995
16 S. Benedeao and G. Montorsi, 'Unveiling turbo codes: Some results on parallel concatenated coding schemes,' 1EEE Trans. Inform. Theory, vol. 42, no. 2, pp. 409-428, Mar. 1996   DOI   ScienceOn
17 L. C. Perez, J. Seghers, and D. J. Costello, 'A distance spectrum interpretation of Turbo codes,' 1EEE Trans. Inform. Theory, vol. 42, no. 6, pp. 1698-1709, Nov. 1996   DOI   ScienceOn
18 S. Benedetto, D. Divsalar, G. Montorsi, and F. Pollara, "Soft-output decoding algorithms for continuous decoding of parallel concatenated convolutional codes,' Proc. IEEE ICC'96, Dallas, Texas, vol. 2, pp. 112-117, June 1996
19 S. Benedetto, G. Montorsi, D. Divsalar, and F. Pollara, 'Serial concatenation of interleaved codes: Performance analysis, design, and iterative decoding,' JPL TDA Progress Report, Pasadena, California, vol. 42, pp. 1-26, Aug. 1996