Woosik MOON¹, Sungbin IM^1*, and Taehyung PARK²

¹TC Lab., School of Electronic Engineering, Soongsil University, Seoul 156-743, Korea
²Department of Industrial and Information Systems Engineering, Soongsil University, Seoul 156-743, Korea

(Received November 30, 2013; Accepted May 15, 2014)

In this study, super-RENS disc read-out signals were modeled with various nonlinear models. In the results of modeling the nonlinearity, DC offset, and domain bloom phenomena of the super-RENS channel with a second-order Volterra filter, it was identified that the number of significant quadratic coefficients was relatively small. Therefore, a sparse Volterra model and a truncated Volterra model are applied to effectively model the nonlinear channel. In addition, the Hammerstein-type asymmetric conversion model is employed to model the nonlinear channel for the purpose of comparison. The results demonstrate that the sparse model of a simplified polynomial form achieves good modeling performance for the super-RENS disc read-out signals.

Key words: asymmetry model, sparse model, super-RENS, Volterra model

^*E-mail address: sbi@ssu.ac.kr