PRML performance estimation considering medium noise down track correlations

Author

Che, Xiaodong ; Barbosa, Lineu C. ; Bertram, H. Neal

Volume

29

Issue

6

fYear

1993

fDate

11/1/1993 12:00:00 AM

Firstpage

4062

Lastpage

4064

Abstract

Application of partial-response maximum-likelihood (PRML) sequence detection in magnetic recording has been demonstrated with substantial increase in the linear density. This method achieves optimal performance when the noise is white and Gaussian. In a recording channel dominated by medium noise, the noise is correlated due to inter-granular interactions. The characteristics of the noise strongly affect the PRML performance. The signal dependent medium noise is characterized approximately by the cross track average magnetization in the presence of transitions. Error rates for detecting a single bit, a dibit, and a tribit with medium noise correlations included are calculated. It is found that errors in detecting a dibit or a tribit are mainly induced by the magnetic noise addition of adjacent transitions

Keywords

error detection; magnetic recording; magnetisation; maximum likelihood estimation; random noise; signal detection; Gaussian noise; PRML performance estimation; bit error detection; cross track average magnetization; error rates; inter-granular interactions; magnetic recording; medium noise correlations; partial response maximum likelihood sequency detection; recording channel; signal dependent medium noise; track correlations; white noise; Circuit noise; Error analysis; Gaussian noise; Magnetic heads; Magnetic noise; Magnetic recording; Magnetization; Noise reduction; White noise; Working environment noise;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.281391

Filename

281391