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Content Provider | IEEE Xplore Digital Library |
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Author | Woods, D.D. |
Copyright Year | 1993 |
Description | Author affiliation: Conner Peripherals, Longmont, CO, USA (Woods, D.D.) |
Abstract | Various digital equalization and detection schemes have been proposed for disk drive read channels and simulated as a Lorentzian channel [Moon and Carley, 1990]. With the design of linear recording densities greater than two channel bits per half amplitude pulsewidth (PW50), concerns over nonlinear distortions, such as partial erasure, require channel simulation with techniques other than the linear Lorentzian model. The paper describes the considerations a disk drive designer faces when optimizing the performance of digital read channels with a channel simulator that uses actual data obtained from a disk file environment. This real data channel simulator accomplishes equalization and detection in software using sampled data from a spinstand allowing the flexibility of investigating the performance of different channel schemes without having to build expensive hardware. Sample offtrack data for selected channels at various user (information) densities are shown, along with ontrack Lorentzian simulation. Goodness numbers for each channel are presented which approximately minimize bit error rate (BER) in a quick way, providing algorithms for a disk drive to check channel quality during adaptive adjustments. |
Starting Page | 1474 |
Ending Page | 1478 |
File Size | 417292 |
Page Count | 5 |
File Format | |
ISBN | 0818641207 |
ISSN | 10586393 |
DOI | 10.1109/ACSSC.1993.342293 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1993-11-01 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Disk drives Bit error rate Moon Disk recording Space vector pulse width modulation Nonlinear distortion Face detection Design optimization Software performance Hardware |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Computer Networks and Communications |
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