Title :
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
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;
Conference_Titel :
Optical Data Storage, 2000. Conference Digest
Conference_Location :
Whisler, BC, Canada
Print_ISBN :
0-7803-5950-X
DOI :
10.1109/ODS.2000.848022
