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Performance of Noise-Predictive Turbo Equalization for PMR Channel  

Kim, Jin-Young (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.33, no.10C, 2008 , pp. 758-763 More about this Journal
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.
Keywords
Perpendicular Magnetic Recording Channel; Noise Predictive; Turbo equalization;
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