Performance estimation for maximum-likelihood detection for channels with transition noise

Author

Chen, Miaolin ; Trachtenberg, E.A.

Author_Institution

Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA

Volume

34

Issue

3

fYear

1998

fDate

5/1/1998 12:00:00 AM

Firstpage

754

Lastpage

762

Abstract

Transition noise is known to be a major cause of errors for high density magnetic recording. This noise is signal dependent and can be modeled as multiplicative noise in a linear channel model. A maximum-likelihood algorithm was considered for detection of signals in such noise. In this work, the performance of the detector, based on this algorithm, is compared to the traditional Viterbi algorithm (VA) and a modified Viterbi algorithm (MVA) by computer simulations. Results show an improvement of up to 5 dB In signal-to-noise-ratio (SNR) under typical conditions with a reasonable complexity

Keywords

Viterbi detection; digital magnetic recording; digital simulation; magnetic recording noise; maximum likelihood detection; SNR; algorithm; channels; computer simulations; errors; high density magnetic recording; linear channel model; maximum-likelihood algorithm; maximum-likelihood detection; modified Viterbi algorithm; multiplicative noise; performance estimation; signal dependence; signal-to-noise-ratio; traditional Viterbi algorithm; transition noise; Additive noise; Detectors; Estimation error; Magnetic noise; Magnetic recording; Maximum likelihood detection; Maximum likelihood estimation; Signal detection; Signal to noise ratio; Viterbi algorithm;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.668082

Filename

668082