Application of linear minimum mean-squared-error equalization for volume holographic data storage.

作者信息

Keskinoz M, Kumar B V

机构信息

Department of Electrical and Computer Engineering, Carnegie Mellon University, Data Storage Systems Center, Pittsburgh, Pennsylvania 15213, USA.

出版信息

Appl Opt. 1999 Jul 10;38(20):4387-93. doi: 10.1364/ao.38.004387.

DOI:10.1364/ao.38.004387

PMID:18323925

Abstract

When target densities of volume holographic data storage systems are increased, the systems experience increased interference from adjacent pixels and noise. Here we present a method for designing and applying linear minimum mean-squared-error (LMMSE) equalization to improve the bit error rates (BER's) and hence the storage densities achievable. Numerical results with five defocused data pages indicate that a significant improvement in the BER is possible with LMMSE equalization.

摘要