Performance of Noise-Predictive Turbo Equalization for PMR Channel 


Vol. 33,  No. 10, pp. 758-763, Oct.  2008


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  Abstract

We introduce a noise-predictive turbo equalization using noise filter in perpendicular magnetic recording(PMR) channel. The noise filter mitigates the colored noise in high-density PMR channel. In this paper, the channel detectors used are SOVA (Soft Output Viterbi Algorithm) and BCJR algorithm which proposed by Bahl et al., and the outer decoder used is LDPC (Low Density Parity Check) code that is implemented by sum-product algorithm. Two kinds of LDPC codes are experimented. One is the 0.5Kbyte (4336,4096) LDPC code with the code rate of 0.94, and the other is 1Kbyte (8432,8192) LDPC code with the code rate of 0.97.

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  Cite this article

[IEEE Style]

J. Kim and J. Lee, "Performance of Noise-Predictive Turbo Equalization for PMR Channel," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 10, pp. 758-763, 2008. DOI: .

[ACM Style]

Jinyoung Kim and Jaejin Lee. 2008. Performance of Noise-Predictive Turbo Equalization for PMR Channel. The Journal of Korean Institute of Communications and Information Sciences, 33, 10, (2008), 758-763. DOI: .

[KICS Style]

Jinyoung Kim and Jaejin Lee, "Performance of Noise-Predictive Turbo Equalization for PMR Channel," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 10, pp. 758-763, 10. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880