Modeling and Detection Algorithms of the P-SLAM Optical Data Storage System

Author

Goss, Kelly C. ; Potter, Mike E. ; Messier, Geoffrey G.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta.

fYear

0

fDate

0-0 0

Firstpage

449

Lastpage

449

Abstract

The P-SLAM (parallel-sublambda) optical data storage system uses sub-wavelength features to store data and data densities of 5 Gbits/cm ² are predicted. To detect the sub-wavelength features the near-field transmitted power is measured. The main hindrance to detection is interference from neighboring features. The FDTD method is used to model a limited span of the interference. A modified Viterbi algorithm is applied to a string of power measurements synthesized from the FDTD simulations and raw bit error rates of 10^-4 are achieved indicating that this algorithm is effective

Keywords

error statistics; finite difference time-domain analysis; interference; optical storage; power measurement; FDTD method; P-SLAM; bit error rates; interference; modified Viterbi algorithm; optical data storage system; parallel-sublambda; power measurements; subwavelength features detection; Bit error rate; Computer vision; Data storage systems; Detection algorithms; Finite difference methods; Interference; Power measurement; Power system modeling; Time domain analysis; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on

Conference_Location

Miami, FL

Print_ISBN

1-4244-0320-0

Type

conf

DOI

10.1109/CEFC-06.2006.1633239

Filename

1633239