Chou W, Neifeld M A
Department of Electrical and Computer Engineering, University of Arizona, Tucson 85721, USA.
J Opt Soc Am A Opt Image Sci Vis. 2001 Jan;18(1):185-94. doi: 10.1364/josaa.18.000185.
We study the use of soft-decision array decoding in a volume holographic memory (VHM) system that is corrupted by interpixel interference (IPI) and detector noise. Soft-decision methods can unify equalization and error decoding. A highly parallel array decoder is presented in the context of two-dimensional low-pass channel mitigation and error correction. 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 resulting joint detection decoding algorithm is shown to offer VHM capacity and density performance superior to that of hard-decision n = 255 Reed-Solomon codes in concatenation with a Wiener filter.