Effect of transition noise on turbo decoding for optical data storage

Author

Song, H. ; Vijaya Kumar, B.V.K.

Author_Institution

Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA

fYear

2000

fDate

14-17 May 2000

Firstpage

188

Lastpage

190

Abstract

We present the results of a simulation study of applying turbo decoding to optical data storage channel in the presence of transition noise. We use an optical recording channel model that captures the storage density effects, the effects of transition noise, the effects of finite equalizer lengths and the noise coloring caused by the equalizers. Our simulator uses the least mean squares (LMS) adaptive algorithm for the partial response (PR) equalizer design and thus captures the effect of a limited training set. We consider three iterative decoding architectures, three different partial response (PR) targets suitable for optical recording, two different precoders, and two different normalized recording densities.

Keywords

decoding; equalisers; learning (artificial intelligence); optical storage; finite equalizer lengths; iterative decoding architectures; least mean squares adaptive algorithm; limited training set; noise coloring; normalized recording densities; optical data storage; optical data storage channel; optical recording channel model; partial response equalizer design; partial response targets; simulation study; storage density effects; transition noise; turbo decoding; Bit error rate; Equalizers; Finite impulse response filter; Gaussian noise; Iterative decoding; Least squares approximation; Memory; Optical noise; Optical recording; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Optical Data Storage, 2000. Conference Digest

Conference_Location

Whisler, BC, Canada

Print_ISBN

0-7803-5950-X

Type

conf

DOI

10.1109/ODS.2000.848022

Filename

848022