DocumentCode
1063354
Title
Performance degradation of PRML channels due to nonlinear distortions
Author
Ziperovich, Pablo A.
Author_Institution
Storage Syst. Product Div., San Jose, CA, USA
Volume
27
Issue
6
fYear
1991
fDate
11/1/1991 12:00:00 AM
Firstpage
4825
Lastpage
4827
Abstract
The effects of nonlinear distortions on the performance of a partial response/maximum likelihood detection (PRML) channel are presented. The nonlinear distortions are introduced during the process of writing (transition shift) and reading (head distortion) data from a magnetic medium. Measurements were taken on the bench using simulated waveforms based on the Lorentzian wave shape, digital equalizer, and experimental PRML channel hardware. Head asymmetry and saturation, typical of experimental magnetoresistive heads, were modeled by adding quadratic and cubic distortions, respectively. Noise was injected to the unequalized signal, presenting a colored spectrum to the input of the detector. The errors were detected by comparing the output of the detector and a reference non-return-to-zero (NRZ) pattern. The system signal-to-noise ratio was computed using a sample distribution method. The effect of various kinds of nonlinearities on the eye diagram was studied, and templates which are useful in identifying the type of nonlinearity present in a real system were generated
Keywords
codes; error detection; magnetic recording; signal detection; signal processing; Lorentzian wave shape; PRML channels; digital equalizer; digital magnetic recording; errors; eye diagram; head distortion; nonlinear distortions; partial response/maximum likelihood detection; performance degradation; reading; sample distribution method; signal-to-noise ratio; transition shift; writing; Degradation; Detectors; Distortion measurement; Equalizers; Magnetic heads; Maximum likelihood detection; Nonlinear distortion; Saturation magnetization; Shape measurement; Writing;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.278959
Filename
278959
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