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Improvement of Iterative Decoding With LLR Modulator by Neural Network Using Magnetic Transition Information in SMR System.
- Source :
- IEEE Transactions on Magnetics; Jan2021, Vol. 51 Issue 1, p1-5, 5p
- Publication Year :
- 2021
-
Abstract
- We have previously focused on a log-likelihood ratio (LLR) computed as the decoding reliability by $a$ posteriori probability (APP) decoder on the low-density parity-check (LDPC) coding and iterative decoding system for the shingled magnetic recording (SMR). Then, we clarified that the LLR modulator applying a neural network realizes an effective iterative decoding. In this article, we propose a new neural network LLR modulator considering magnetic transition information obtained from LLRs to reduce the influence of intersymbol interferences (ISIs). [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189464
- Volume :
- 51
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Magnetics
- Publication Type :
- Academic Journal
- Accession number :
- 148281509
- Full Text :
- https://doi.org/10.1109/TMAG.2020.3011163