PERFORMANCE ANALYSIS OF DECISION-FEEDBACK EQUALIZATION WITH MAXIMUM-LIKELIHOOD DETECTOR IN HIGH-DENSITY RECORDING CHANNELS

被引:3
|
作者
SAWAGUCHI, H
SAKURAI, W
机构
[1] Central Research Laboratory, Hitachi, Ltd., Tokyo 185, 1-280 Higashi-Koigakubo, Kokubunji
关键词
D O I
10.1109/20.490270
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The performance of decision-feedback equalization combined with maximum-likelihood detection (DFE/ML) using the FDTS/DF algorithm was estimated analytically in terms of the length of the feedback-filter and the depth of the ML-detector. Performance degradation due to error propagation in the feedback-loop and in the ML-detector was taken into account. It was quantitatively shown that signal-to-noise-ratio performance in high-density magnetic recording channels can be improved by combining an ML-detector and a feedback-filter. In particular, it was found that near-optimum performance can be achieved over the channel density range from 2 to 3 by increasing the total of the feedback-filter length and the ML-detector depth to six bits.
引用
收藏
页码:3063 / 3065
页数:3
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