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作者机构:The Center for Micromagnetics and Information Technologies Department of Electrical Engineering University of Minnesota Minneapolis MN USA
出 版 物:《IEEE TRANSACTIONS ON MAGNETICS》 (IEEE Trans Magn)
年 卷 期:1992年第28卷第5期
页 面:2895-2897页
核心收录:
学科分类:0808[工学-电气工程] 08[工学] 0702[理学-物理学]
基 金:National Science Foundation, NSF, (NCR-9110568) National Science Foundation, NSF International Business Machines Corporation, IBM
主 题:Viterbi algorithm Jitter Additive noise Working environment noise Detectors Gaussian noise Error analysis Magnetic noise Degradation Moon
摘 要:One way to improve data capacity in magnetic recording is to increase linear density by storing magnetic transitions more closely in each track. However, experiments have shown that one drawback of such practice is the substantial increase of transition noise. Transition noise will degrade the performance of the detector, and, thus, reduce reliability of the reproduced information. Random jitter in the transition position is believed to be one of the major contributions to transition noise. Transition noise cannot be modeled as additive noise since it is data-dependent. In this paper, we propose a new detection scheme which yields better performance than the conventional Viterbi detector in jitter-dominant recording channels. The proposed detection scheme is based on the Gaussian jitter assumption, and is very similar to the Viterbi algorithm (VA) except that a modified branch error metric is used to incorporate the data-dependent nature of jitter noise. Error rate simulation results, obtained for channels dominated by either Gaussian jitter or truncated Gaussian jitter, show that the proposed detection scheme yields lower error rates than the VA.