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Proceedings Paper

Fixed delay tree-search based detection for volume holographic data storage
Author(s): Venkatesh Vadde; Bhagavatula Vijaya Kumar
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Paper Abstract

As densities of storage increase in holographic optical memories, ISI becomes an issue calling for efficient equalization techniques. We investigate the use of fixed delay tree-search (FDTS) as an economical alternative to the optimal but often complex solution of maximum likelihood sequence detection. We compare the two techniques from a performance and complexity perspective and show that the former is simpler to implement with limited loss in performance. We adapt fixed-delay tree search with partial response equalization to holographic storage and quantify SNR and density gains obtained from it. The benefit of low- pass codes used with FDTS is also investigated. A cumulative density improvement of 71% is shown to be feasible using FDTS for scatter-limited channels.

Paper Details

Date Published: 18 September 2000
PDF: 9 pages
Proc. SPIE 4090, Optical Data Storage 2000, (18 September 2000); doi: 10.1117/12.399376
Show Author Affiliations
Venkatesh Vadde, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 4090:
Optical Data Storage 2000
Douglas G. Stinson; Ryuichi Katayama, Editor(s)

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