• Proceedings of the Korean Magnestics Society Conference
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• 2005.06a
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• pp.126-127
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• 2005

• Proceedings of the Korean Magnestics Society Conference
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• 2005.06a
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• pp.4-4
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• 2005

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.10C
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• pp.758-763
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• 2008

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.

• Journal of the Korean Magnetics Society
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• v.16 no.2
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• pp.149-156
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• 2006

The frequency of the recording current and the rotating speed of the recording media are Increase for the high densities in perpendicular magnetic recording system with high conductive pole tip head and soft magnetic under-layer. In the paper, the frequency Induced eddy current and velocity induced eddy currents are analyzed by non-linear 3-dimensional finite element analysis. It it turned out that the frequency induced eddy current decreases the amplitude of the recording fields, whereas the velocity induced eddy current only distorts the distribution of the recording fields in the recording media.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.11C
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• pp.868-873
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• 2008

In this paper, we analyze the burst error performance of LDPC codes on perpendicular magnetic recording(PMR) channel. When burst error is generated on PMR channel, we use channel state information(CSI) to set the LLR information of channel detector zero. We consider the rate 0.94 LDPC codes and use SOVA as channel detector with low complexity.

• Proceedings of the Korean Magnestics Society Conference
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• 2001.10a
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• pp.80-81
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• 2001

• Journal of the Korean Magnetics Society
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• v.2 no.1
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• pp.50-55
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• 1992

Numerical method for analyzing the reading process in magnetic recording system is described. Hysteresis characteristics must be included in numerical analysis not only recording process but also reading process because of hysteretic behavior of recording media. Algorithm which is consisted of finite clement method for numerical analysis and Preisach model considered to be more appropriate method than Stoner-Wohlfarth model with spin curling mode for describing hysteresis characteristics is constructed. Equations to calculate waveform of reproduced voltage is proposed. Then, this is applied to perpendicular magnetic recording systems with pole type head and double layer media. Waveform of magnetic flux density and reproduced voltage induced in head coil is obtained. If the recording current increase in recording process, magnitude of reproduced voltage in reproducing process saturates. From this saturation curve, value of current which produce maximum voltage can be obtained.

• Journal of the Korean Magnetics Society
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• v.2 no.2
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• pp.169-177
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• 1992

자기광효과가 큰 수직자기 이방성을 가진 자성박막에 레이저광으로 정보를 기록하고 판독하는 광자기 기록기술(Magneto-optical recording technology)은 1950년대 후반부터 연구가 되기 시작하여, 현재는 5.25" 디스크 에 400~600 Mbytes의 저장 능력, access time이 30~200 nm, data transfer rate이 1.2~8 Mbits/s 수준의 제품이 상품 화되고 있다. 광자기 기록은 자기기록방식의 무제한 반복기록의 장점과 광기록방식의 비접촉 기록, 고집적 능력, 디스크 제거기 능의 제 장점이 병합된 기술로서 향후 정보저장의 새로운 기술로서 그 자리를 굳혀갈 것으로 예상된다. 본 해설에서는 광자기 기록매체를 중심으로 하여 광자기 기록기술의 기록 및 판독원리, 광자기 기록재질, 광자기 디스크 SNR, direct overwriting의 제방법, 차세대를 향한 고밀도화의 시도에 대해 각각 서술한 후 결론을 맺고저 한다.

• Proceedings of the Korean Magnestics Society Conference
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• 2005.06a
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• pp.28-29
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• 2005

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.1C
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• pp.15-20
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• 2009

For perpendicular magnetic recording (PMR) channels, noise-predictive maximum likelihood (NPML) detection method has been used. But, it is hard to expect improving the performance when the bit density is increased. Hence, we exploit the coding methods which has good performance. In this paper, we show the performance of the recursive systematic convolutional (RSC) codes with turbo-equalization method with different channel bit densities. The noise model is 80% jitter noise and 20% AWGN.