Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/79754
Title: Design guidelines of low-density parity-check codes for magnetic recording systems
Authors: Fang, Y 
Han, GJ
Cai, GF
Lau, FCM 
Chen, PP
Guan, YL
Keywords: Asymptotic performance
Asymptotic weight distribution (AWD)
Extrinsic information transfer (EXIT)
Density evolution (DE)
Inter-symbol interference (ISI)
Low-density parity-check (LDPC) codes
Magnetic recording (MR)
Turbo detection
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE communications surveys and tutorials, 2018, v. 20, no. 2, p. 1574-1606 How to cite?
Journal: IEEE communications surveys and tutorials 
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 errorcorrection 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, repeataccumulate 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.
URI: http://hdl.handle.net/10397/79754
EISSN: 1553-877X
DOI: 10.1109/COMST.2018.2797875
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