Likelihood-based error correction for holographic storage systems

Mark Allen Neifeld; Wu-Chun Chou

doi:10.1117/12.370247

22 November 1999 Likelihood-based error correction for holographic storage systems

Mark Allen Neifeld, Wu-Chun Chou

Proceedings Volume 3802, Advanced Optical Data Storage: Materials, Systems, and Interfaces to Computers; (1999) https://doi.org/10.1117/12.370247
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We consider a volume holographic memory (VHM) system that is corrupted by interpixel interference (IPI) and detector noise. We compare hard-decision Reed-Solomon (RS) decoding with both hard- and soft-decision algorithms for 2D array decoding. RS codes are shown to provide larger VHM storage capacity and density as compared with array codes when hard-decision methods are employed. A new likelihood-based soft-decision algorithm for 2D array decoding is described. The new decoding algorithm is motivated by iterative turbo-decoding methods and is capable of incorporating a priori knowledge of the corrupting IPI channel during decoding. The new algorithm is shown to offer VHM capacity and density performance superior to hard-decision RS methods.

Citation Download Citation

Mark Allen Neifeld and Wu-Chun Chou "Likelihood-based error correction for holographic storage systems", Proc. SPIE 3802, Advanced Optical Data Storage: Materials, Systems, and Interfaces to Computers, (22 November 1999); https://doi.org/10.1117/12.370247

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