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Implementation of Noise Predictive Maximum Likelihood Detector in High Density Perpendicular Magnetic Recording  

김성환 (동국대학교 전자공학과 통신 및 정보 저장연구실)
이재진 (동국대학교 전자공학과 통신 및 정보 저장연구실)
Abstract
Noise predictive maximum likelihood(NPML) detector embeds noise prediction/whitening process in branch metric calculation of Viterbi detector and improves the reliability of branch metric computation. Therefore, PRML detector with a noise predictor achieves some performance improvement and has an advantage of low complexity. This thesis random sequences are applied to linear channel. In perpendicular magnetic recording density KP=2.5, NP(121)ML and NP(1221)ML detection system which is based on a noise predictive PR-equalized signal are evaluated by the Performance through a computing simulation. Therefore, NPML systems are implemented and are verified by VHDL.
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Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 A study of PRML systems for perpendicular recording using double layered medium /
[ Y.Okmoto;H.Sumiyoshi;T.Kishigami;M.Akamatsu;H.Osawa;H.saito;H.Muraoka;Y.Nakamura ] / IEEE Trans. Magn.
2 PRML systems for perpendicular magnetic recording /
[ H.Osawa;Y.Kurihara,;Y.Okamoto,H.Saito;H.Muraoka;Y.Nakamura ] / J. Magn. Soc. Japan
3 수직자기록을 위한 부분응답 최대 유사도 시스템의 성능 분석 /
[ 김성환;이준;이재진 ] / 한국통신학회 하계종합학술발표회 논문집
4 고밀도 수직자기기록을 위한 저복잡도 잡음 예측 최대 유사도 검출 방법 /
[ 김성환;이주현;이재진 ] / 한국통신학회 논문지   과학기술학회마을
5 Noise predictive maximum-likelihood(NPML)detection for the magnetic recording channel /
[ E.Eleftheriou;W.Hirt ] / IEEE conf. Records ICC'96