The effect of MR head nonlinearity on MDFE and PRML performance

Author

Liu, Bin ; Lee, Yuan Xing ; Mutoh, Hiroshi ; Garg, Hari Krishina

Author_Institution

Data Storage Inst., Singapore

Volume

33

Issue

5

fYear

1997

fDate

9/1/1997 12:00:00 AM

Firstpage

2764

Lastpage

2766

Abstract

The detection performance of multi-level decision feedback equalization (MDFE) and partial response with maximum likelihood detection (PRML) in the presence of magnetoresistive (MR) head nonlinearity is investigated through simulation. Two models are used to characterize the MR head nonlinearity: (1) a transfer function curve based on measurement and (2) a 3rd-order polynomial model. The results indicate that MDFE is more robust to MR head nonlinearity than PRML, especially to head saturation

Keywords

decision feedback equalisers; magnetic heads; magnetoresistive devices; maximum likelihood detection; partial response channels; polynomials; transfer functions; MDFE; MR head nonlinearity; PRML; magnetoresistive head; multi-level decision feedback equalization; partial response with maximum likelihood detection; polynomial; saturation; transfer function; Bit error rate; Curve fitting; Cutoff frequency; Decision feedback equalizers; Detectors; Equalizers; Finite impulse response filter; Magnetic heads; Magnetoresistance; Maximum likelihood detection; Mean square error methods; Polynomials; Robustness; Signal to noise ratio; Transfer functions;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.617723

Filename

617723