A simple parity check matrix LDPC code for perpendicular magnetic recording channels

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dc.contributor.authorTimakul, Sekson
dc.contributor.authorChoochuay, Somsak
dc.date.accessioned2026-08-06T10:07:12Z
dc.date.available2026-08-06T10:07:12Z
dc.date.issued2013-09-02
dc.description.abstractIn LDPC code design, the structure of code's parity check matrix can be very crucial to code performance. In this paper, we have investigated a simple designed parity check matrix when the code is applied to a PMR channel of a storage system. Belief propagation algorithm and min-sum algorithm are two major decoding algorithms used to benchmarked the code's merits. Additive white Gaussian noise channel (AWGN) and perpendicular magnetic recording (PMR) channel with SISO equalizer in PR2 target are the conditions of our investigation. The LDPC code itself is a modified array type. Its construction fairly simple compared to normal array and quasi-cyclic code. We used two decision variables to define the permutation matrix. A method proposed by Tanner's et.al had been adapted to the modified array code. The decoders have been tested for 5 and 20. iterations. SNR versus BER and BLER were measured. © 2013 IEEE.
dc.identifier.citation2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013, 2013
dc.identifier.doi10.1109/ECTICon.2013.6559665
dc.identifier.other2-s2.0-84883061241
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5035
dc.source2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013
dc.subjectError correction coding
dc.subjectiterative decoding
dc.subjectLDPC codes
dc.subjectmagnetic recording
dc.subjectmin-sum decoding
dc.titleA simple parity check matrix LDPC code for perpendicular magnetic recording channels
dc.typeConference Paper

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