Mean-Adjusted Pattern-Dependent Noise Prediction for Perpendicular Recording Channels With Nonlinear Transition Shift

Autor: H.N. Bertram, Paul H. Siegel, Zheng Wu, Jack K. Wolf
Rok vydání: 2008
Předmět:
Zdroj: IEEE Transactions on Magnetics. 44:3761-3764
ISSN: 0018-9464
DOI: 10.1109/tmag.2008.2002423
Popis: In high-density perpendicular magnetic recording channels, nonlinear transition shift (NLTS) is one of the distortions that can degrade the system performance. Write precompensation is a standard method used to combat the negative effect of NLTS. In this paper, we propose a modified pattern-dependent noise predictive (PDNP) detection algorithm for use on channels with electronics noise, transition jitter noise, and NLTS. We show that this detector can offer significant improvement in bit-error-rate (BER) compared to conventional Viterbi and PDNP detectors. Moreover, the system performance can be further improved by combining the new detector with a simple write precompensation scheme.
Databáze: OpenAIRE