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author:

Fang, Yi (Fang, Yi.) [1] | Han, Guojun (Han, Guojun.) [2] | Cai, Guofa (Cai, Guofa.) [3] | Lau, Francis C.M. (Lau, Francis C.M..) [4] | Chen, Pingping (Chen, Pingping.) [5] | Guan, Yong Liang (Guan, Yong Liang.) [6]

Indexed by:

EI

Abstract:

As one of the most classical data-storage systems, magnetic recording (MR) systems have attracted a significant amount of research attention in the past several decades due to the advantages of low cost and high storage density. Along with the continual increase of areal density of modern MR devices, more severe inter-symbol interference (ISI) and noise appear and thus reliable storage becomes more difficult. To address this challenging problem, turbo detections and error-correction codes (ECCs) have been applied to MR systems so as to significantly improve the overall data-storage reliability. Among all the existing ECCs, low-density parity-check (LDPC) codes are of particular interest because they can offer excellent error performance with relatively low encoding and decoding complexity. This paper presents a comprehensive survey of the latest research advancements in LDPC-code design for MR systems from the perspectives of code construction, decoder design, as well as asymptotic performance-evaluation methodology. More specifically, we summarize the design guidelines of LDPC encoder and decoder over both one-dimensional (OD) ISI and two-dimensional (TD) ISI channels, which are commonly used to characterize MR systems with different areal densities. We also concisely portray the research progress in the design of some LDPC-code variants, such as protograph codes, repeat-accumulate codes, spatially coupled codes, and their non-binary counterparts over the aforementioned ISI channels. In particular, we restrict our attention to the reading process and ignore the written-in errors in MR systems unless otherwise stated. Hopefully, this survey will inspire more research activities in the area of LDPC-coded MR systems. © 2018 IEEE.

Keyword:

Channel coding Decoding Design Digital storage Error correction Forward error correction Intersymbol interference Magnetic recording Magnetic storage Magnetism Petroleum reservoir evaluation Signal encoding Surveys Turbo codes

Community:

  • [ 1 ] [Fang, Yi]School of Information Engineering, Guangdong University of Technology, Guangzhou; 510006, China
  • [ 2 ] [Fang, Yi]Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong
  • [ 3 ] [Han, Guojun]School of Information Engineering, Guangdong University of Technology, Guangzhou; 510006, China
  • [ 4 ] [Cai, Guofa]School of Information Engineering, Guangdong University of Technology, Guangzhou; 510006, China
  • [ 5 ] [Cai, Guofa]National Mobile Communications Research Laboratory, Southeast University, Nanjing; 210096, China
  • [ 6 ] [Lau, Francis C.M.]Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong
  • [ 7 ] [Chen, Pingping]Department of Electronic Information, Fuzhou University, Fuzhou; 350116, China
  • [ 8 ] [Guan, Yong Liang]School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; 639798, Singapore

Reprint 's Address:

  • [cai, guofa]school of information engineering, guangdong university of technology, guangzhou; 510006, china;;[cai, guofa]national mobile communications research laboratory, southeast university, nanjing; 210096, china

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Source :

IEEE Communications Surveys and Tutorials

Year: 2018

Issue: 2

Volume: 20

Page: 1574-1606

2 2 . 9 7 3

JCR@2018

3 4 . 4 0 0

JCR@2023

ESI HC Threshold:174

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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