A Communication-Theoretic Framework for 2-DMR Channel Modeling: Performance Evaluation of Coding and Signal Processing Methods

Srinivasa, Shayan Garani and Chen, Yiming and Dahandeh, Shafa (2014) A Communication-Theoretic Framework for 2-DMR Channel Modeling: Performance Evaluation of Coding and Signal Processing Methods. In: IEEE TRANSACTIONS ON MAGNETICS, 50 (3, 1).

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Abstract

We develop a communication theoretic framework for modeling 2-D magnetic recording channels. Using the model, we define the signal-to-noise ratio (SNR) for the channel considering several physical parameters, such as the channel bit density, code rate, bit aspect ratio, and noise parameters. We analyze the problem of optimizing the bit aspect ratio for maximizing SNR. The read channel architecture comprises a novel 2-D joint self-iterating equalizer and detection system with noise prediction capability. We evaluate the system performance based on our channel model through simulations. The coded performance with the 2-D equalizer detector indicates similar to 5.5 dB of SNR gain over uncoded data.

Item Type:	Journal Article
Publication:	IEEE TRANSACTIONS ON MAGNETICS
Publisher:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information:	Copyright for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, USA
Keywords:	2-D magnetic recording (2-DMR) channel modeling; 2-D noise prediction; joint self-iterating 2-D equalization and detection
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	09 Jun 2014 10:06
Last Modified:	09 Jun 2014 10:06
URI:	http://eprints.iisc.ac.in/id/eprint/49048

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