Coding tradeoffs for high-density holographic data storage

Geoffrey W. Burr; Brian Marcus

doi:10.1117/12.370244

22 November 1999 Coding tradeoffs for high-density holographic data storage

Geoffrey W. Burr, Brian Marcus

Proceedings Volume 3802, Advanced Optical Data Storage: Materials, Systems, and Interfaces to Computers; (1999) https://doi.org/10.1117/12.370244
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We present an initial experimental evaluation of coding and signal processing tradeoffs in high-density holographic data storage. Block-based and low-pass modulation codes, predistortion of holographic pages during recording (pre- processing), and conventional equalization (post-processing) are compared using a few recorded holograms. The relative gain in number of stored holograms is obtained by measuring BER as a function of readout power: the effect on density is gauged by the size of the Fourier plane aperture in the holographic system. Results show that equalization provides a 20% density gain, and predistortion a 60% gain. The total improvement in density by combining small apertures with both of these signal processing options is greater than 100% with an 8:12 strong balanced block code, a 6:9 lowpass/sparse code, and a parity thresholding technique with 9.1% overhead.

Citation Download Citation

Geoffrey W. Burr and Brian Marcus "Coding tradeoffs for high-density holographic data storage", Proc. SPIE 3802, Advanced Optical Data Storage: Materials, Systems, and Interfaces to Computers, (22 November 1999); https://doi.org/10.1117/12.370244

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