Browse > Article

Performance Of Iterative Decoding Schemes As Various Channel Bit-Densities On The Perpendicular Magnetic Recording Channel  

Park, Dong-Hyuk (숭실대학교 정보통신전자공학부 정보저장 및 통신 연구실)
Lee, Jae-Jin (숭실대학교 정보통신전자공학부 정보저장 및 통신 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.35, no.7C, 2010 , pp. 611-617 More about this Journal
Abstract
In this paper, we investigate the performances of the serial concatenated convolutional codes (SCCC) and low-density parity-check (LDPC) codes on perpendicular magnetic recording (PMR) channels. We discuss the performance of two systems when user bit-densities are 1.7, 2.0, 2.4 and 2.8, respectively. The SCCC system is less complex than LDPC system. The SCCC system consists of recursive systematic convolutional (RSC) codes encoder/decoder, precoder and random interleaver. The decoding algorithm of the SCCC system is the soft message-passing algorithm and the decoding algorithm of the LDPC system is the log domain sum-product algorithm (SPA). When we apply the iterative decoding between channel detector and the error control codes (ECC) decoder, the SCCC system is compatible with the LDPC system even at the high user bit density.
Keywords
Serial Concatenated Convolutional Codes(SCCC); Low-Density Parity-Check(LDPC) Codes; Perpendicular Magnetic Recording(PMR) Channel; Channel Iteration; Iterative Decoding;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Benedetoo, G. Montorsi, D. Divsalar, and F. Pollara, "Serial concatenation of interleaved codes: Performance analysis, design, and iterative decoding," IEEE Trans. Inf. Theory., Vol.44, No.3, pp.909-926, May 1998.   DOI   ScienceOn
2 W. Ryan, L. McPheters, and S. McLaughlin, "Combined turbo coding and turbo equalization for PR4-equalized Lorentzian channels," Proc. Int. Conf. Int., Sci. and Sys., Princeton, NJ, pp.489-493, 1998.
3 T. Souvignier, A. Friedmann, M. Oberg, P. Siegel, R. E. Swanson, and J. K. Wolf, "Turbo decoding for PR4: Parallel versus serial concatenation," Proc. Int. Conf. Commun.. pp.1638-1642, June 1999.
4 D. Park, J. Kim, and J. Lee, "Messagepassing detector with serial concatenated codes for PMR channel," Proc. Intermag 2008 conf. HM-6, May 4-8, 2008.
5 Donghyuk. Park, Jinyoung Kim, Jaejin Lee and Joohyun Lee, "Message-passing iterative decoding between detector and RSC code decoder for PMR channel," IEEE Trans. Consum. Electron., Vol.54, No.4, pp.1750-1754, Nov. 2008.   DOI
6 M. Madden, M. Oberg, Z. Wu, and R. He, "Read channel for perpendicular magnetic recording," IEEE Trans. Magn., Vol.40, No.1, pp.241-246, Jan. 2004.   DOI   ScienceOn
7 X. Hu, E. Eleftheriou, D. Arnold, and A. Dholakia, "Efficient implementation of the sum-product algorithm for decoding LDPC codes," Proc. IEEE GLOBECOM, San Antonio, TX, pp.1036-1036E, Nov. 2001.
8 P. R. Chevillat, E. Eleftheriou, and D. Maiwald, "Noise-predictive partial-response equalizers and applications," Proc. 1992 Int. Conf. Commun., Vol.2, pp.942-947, June 14-18, 1992.
9 J. D. Coker, E. Eleftheriou, R. L. Galbraith, and W. Hirt, "Noise-predictive maximum likelihood (NPML) detection," IEEE Trans. Magn., Vol.34, No.1, pp.110-117, Jan. 1998.   DOI   ScienceOn