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Noise Predictive Information Rate Estimation for TDMR Channels

In this paper, we use the forward recursion BCJR algorithm to estimate the symmetric
information rate for Two Dimensional Magnetic Recording (TDMR) channels. In particular, we
consider a TDMR read/write channel whose all components, including recording medium, write
and readback processes are modeled in software. Since the primary source of noise in TDMR
arises from irregularities in the recording medium and leads to highly colored and data-dependent
jitter, the pattern dependent noise predictive (PDNP) algorithm is implemented to improve the
accuracy and performance of SIR estimation. Furthermore, we study the performance gain of
using the PDNP algorithm in SIR estimation through simulations over the Voronoi based media
model for different TDMR channel configurations.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624263
Date11 1900
CreatorsBahrami, Mohsen, Vasic, Bane
ContributorsUniv Arizona, Dept Elect & Comp Engn
PublisherInternational Foundation for Telemetering
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Proceedings
RightsCopyright © held by the author; distribution rights International Foundation for Telemetering
Relationhttp://www.telemetry.org/

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