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Modeling and Equalization for Super-RENS Systems Based on the Canonical Piecewise-Linear and Volterra Models  

Seo, Man-Jung (School of Electronic Engineering, Soongsil University)
Shim, Hee-Sung (School of Electronic Engineering, Soongsil University)
Im, Sung-Bin (School of Electronic Engineering, Soongsil University)
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Abstract
A correct and accurate model of optical data storage systems is very important in development and performance evaluation of various data detection algorithms. In this paper, we present an nonlinear modeling scheme of a super-resolution near-field structure (Super-RENS) read-out signal using the canonical piecewise-linear (PWL) and the second-order Volterra models. Nonlinear equalizers may be developed on the basis of the information obtained from this nonlinear modeling. To mitigate the nonlinear inter-symbol interference (ISI), we proposed a new nonlinear equalizer for Super-RENS discs. Its validity is tested with the RF signal samples obtained from a Super-RENS disc. The experiment results verified the possibility that the canonical PWL and the second-older Volterra models can be utilized for nonlinear modeling of Super-RENS systems. The proposed equalizers are superior to the one without equalization in terms of bit error rate (BER).
Keywords
Super-RENS; canonical PWL; Volterra; nonlinearity; equalizer;
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Times Cited By KSCI : 2  (Citation Analysis)
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