Noise predictive information rate estimation for TDMR channels

Mohsen Bahrami, Bane Vasić

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Pages (from-to)421-427
Number of pages7
JournalProceedings of the International Telemetering Conference
Volume52
StatePublished - 2016

Keywords

  • And voronoi channel
  • Pattern dependent noise predictive algorithm
  • Symmetric information rate
  • Two dimensional magnetic recording

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing

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