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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/624263 |
| Date | 11 1900 |
| Creators | Bahrami, Mohsen, Vasic, Bane |
| Contributors | Univ Arizona, Dept Elect & Comp Engn |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © held by the author; distribution rights International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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