Fixed delay tree-search based detection for volume holographic data storage

Venkatesh Vadde; Bhagavatula Vijaya Kumar

doi:10.1117/12.399376

18 September 2000 Fixed delay tree-search based detection for volume holographic data storage

Venkatesh Vadde, Bhagavatula Vijaya Kumar

Author Affiliations +

Proceedings Volume 4090, Optical Data Storage 2000; (2000) https://doi.org/10.1117/12.399376
Event: Optical Data Storage, 2000, Whistler, BC, Canada

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.

Citation Download Citation

Venkatesh Vadde and Bhagavatula Vijaya Kumar "Fixed delay tree-search based detection for volume holographic data storage", Proc. SPIE 4090, Optical Data Storage 2000, (18 September 2000); https://doi.org/10.1117/12.399376

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