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Sequence Detection for High-Density Storage Channels : The Springer International Series in Engineering and Computer Science - Jaekyun Moon

Sequence Detection for High-Density Storage Channels

The Springer International Series in Engineering and Computer Science

Hardcover Published: December 2009
ISBN: 9780792392644
Number Of Pages: 153

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While there have been remarkable advances in recent years in the areas of both coding and detection for data storage, this book focuses on data detection, or the processing of reading back waveforms to reproduce stored data, in conjunction with the traditional modulation coding method called run-length-limited or (d, k) coding. Among notable recent advances in the area of data detection is the application of the Viterbi algorithm combined with partial response linear equalization, known as partial response maximum likelihood (PRML), to commercial magnetic disk drives. The decision feedback equalizer (DFE), a well established data detection technique in communication channels subject to intersymbol interference (ISI), has also attracted attention in the magnetic recording community. One of the objectives of this book is to provide a tutorial review of the application of these detection schemes to magnetic recording. Philosophies behind these detection schemes are explained, as well as methods for analyzing their performances. Performance of these detection schemes is compared with that of the traditional peak detection method to provide insight into density improvements that can be achieved using these schemes. The main emphasis of the book is on the more recent idea proposed by the authors, namely, the application of fixed delay tree search (FDTS) to high density magnetic recording. Although the idea of depth-limited tree search has long existed in coding and in detection for ISI channels, it has not been previously noted that, for certain constrained ISI channels, depth-limited tree search yields an asymptotically optimal performance. This book explores the idea of depth-limited search on constrained channels and shows how a relatively simple FDTS detector combined with DFE, called FDTS/DF, achieves a near-optimal performance when applied to high density magnetic recording where the minimum run-length constraint may be required to suppress nonlinearities and media noise.

List of Figures
Introductionp. 1
Motivationp. 1
Backgroundp. 3
Fixed-Delay Tree Searchp. 19
Derivationp. 20
Computational Efficiencyp. 22
Performance Analysisp. 30
Effect of d-constraint on Performancep. 37
Effect of d-constraint on Complexityp. 44
Application to Digital Magnetic Recordingp. 53
Channel Modelp. 54
Detection Schemesp. 65
Performance Comparisonp. 86
Effects of Transition Noisep. 103
Channel Modelp. 105
Detection Performancep. 112
Channel Shapingp. 121
Numerical Examplesp. 125
Summaryp. 137
Appendixp. 141
Referencesp. 145
Indexp. 151
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9780792392644
ISBN-10: 0792392647
Series: The Springer International Series in Engineering and Computer Science
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 153
Published: December 2009
Publisher: Springer
Country of Publication: NL
Dimensions (cm): 23.5 x 15.5  x 1.91
Weight (kg): 0.94

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