Low complexity symbol detection method for multilevel 2-D optical storage based on a linear channel model

Abstract

This version is available at https://strathprints.strath.ac.uk/37083/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Abstract. A symbol detection scheme based on the Viterbi algorithm that simultaneously processes subsets of 2-D data in the presence of Gaussian noise was recently proposed for binary 2-D optical storage ͑TwoDOS͒. In the case of multilevel TwoDOS, a straightforward fullfledged maximum likelihood symbol detector, or even the previous Viterbi-based algorithm, is not an ideal solution due to complexity restrictions. We propose a suboptimum low complexity symbol detector, which still performs within the accepted performance bound for optical storage. We describe the procedures involved in designing and developing a practical symbol detection scheme for multilevel TwoDOS by analyzing the signal values generated by a linear channel model in the presence of Gaussian noise. Our proposed detection scheme exploits the properties of the 2-D data format on the disk, and is flexible enough to accommodate performance and complexity restrictions for optical storage applications.

Hybrid multinary modulation codes for page-oriented holographic data storage

“…Instead of just sorting the channels of a block, more complicated decision schemes, e.g. based on the Viterbi algorithm, may be used for more accurate detection [10,15]. In general, the number of distinguishable code words N needs to be larger than or equal to the number of possible user words.…”

“…This emphasizes the importance and accounts for the great interest in the research into new parallel coding designs and detection schemes during the last decade (e.g. [2][3][4][5][6][7][8][9][10][11][12][13][14][15]). Before recording data in a holographic device usually error-correcting codes (ECC) and interleaving are applied to the data [16].…”