Experimental evaluation of user capacity in holographic data-storage systems.

An experimental procedure for determining the relation between the number of stored holograms and the raw bit-error rate (BER) (the BER before error correction) of a holographic storage system is described. Compared with conventional recording schedules that equalize the diffraction efficiency, scheduling of recording exposures to achieve a uniform raw BER is shown to improve capacity. The experimentally obtained capacity versus the raw-BER scaling is used to study the effects of modulation and error-correction coding in holographic storage. The use of coding is shown to increase the number of holograms that can be stored; however, the redundancy associated with coding incurs a capacity cost per hologram. This trade-off is quantified, and an optimal working point for the overall system is identified. This procedure makes it possible to compare, under realistic conditions, system choices whose impact cannot be fully analyzed or simulated. Using LiNbO(3) in the 90 degrees geometry, we implement this capacity-estimation procedure and compare several block-based modulation codes and thresholding techniques on the basis of total user capacity.

[1]  C. M. Jefferson,et al.  Modulation coding for pixel-matched holographic data storage. , 1997, Optics letters.

[2]  David L. Huestis,et al.  Time-Domain Holographic Digital Memory , 1997 .

[3]  C. M. Jefferson,et al.  Noise reduction of page-oriented data storage by inverse filtering during recording. , 1998, Optics letters.

[4]  M A Neifeld,et al.  Error correction for increasing the usable capacity of photorefractive memories. , 1994, Optics letters.

[5]  L Hesselink,et al.  Volume Holographic Storage and Retrieval of Digital Data , 1994, Science.

[6]  Claire Gu,et al.  Crosstalk limited storage capacity of volume holographic memory , 1992, Optical Society of America Annual Meeting.

[7]  D. Brady,et al.  Adaptive optical networks using photorefractive crystals. , 1988, Applied optics.

[8]  D Psaltis,et al.  High-density recording in photopolymer-based holographic three-dimensional disks. , 1996, Applied optics.

[9]  Pochi Yeh,et al.  Absorption effects in photorefractive volume-holographic memory systems. II. Material heating , 1996 .

[10]  John H. Hong,et al.  Statistics of both optical and electrical noise in digital volume holographic data storage , 1996 .

[11]  Pochi Yeh,et al.  Absorption effects in photorefractive volume-holographic memory systems. I. Beam depletion , 1996 .

[12]  Demetri Psaltis Holographic memories , 1996, International Commission for Optics.

[13]  D Psaltis,et al.  System metric for holographic memory systems. , 1996, Optics letters.

[14]  F B McCormick,et al.  Experimental characterization of a two-photon memory. , 1997, Optics letters.

[15]  Geoffrey W. Burr,et al.  Volume holographic storage using the 90° geometry , 1996 .

[16]  G W Burr,et al.  Experimental study of the effects of a six-level phase mask on a digital holographic storage system. , 1998, Applied optics.

[17]  Lambertus Hesselink,et al.  Channel codes for digital holographic data storage , 1995 .

[18]  P B Bennett,et al.  The physiology of decompression illness. , 1995, Scientific American.