Reduced complexity look-up table based π-rotation LDPC decoder

Hao Wang, Hongda Wang, Gerald E Sobelman, Chiu Sing Choy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a look-up table based, configurable and serial-parallel scheduled π-rotation LDPC decoder. By using the proposed permutation mapping scheme together with an optimized normalized min-sum decoding algorithm, the LDPC decoder structure and circuit resource requirements can be greatly reduced. Furthermore, the proposed approach is compatible with different code lengths, bit widths and permutation vectors provided that the parity-check matrix has the π-rotation structure. Specifically, the proposed architecture in this work is implemented with a code length of 1968, a code rate of 1/2, 6-bit quantization and an iteration limit of 10 on a Xilinx Virtex4 XC4VLS200 FPGA. The synthesis results demonstrate the feasibility of the proposed approach to achieve a good BER-SNR performance using a simple decoding scheme and an efficient circuit implementation.

Original languageEnglish (US)
Title of host publication2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings
EditorsRu Huang, Ting-Ao Tang, Yu-Long Jiang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-410
Number of pages4
ISBN (Electronic)9781467397179
DOIs
StatePublished - Jan 1 2016
Event13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Hangzhou, China
Duration: Oct 25 2016Oct 28 2016

Publication series

Name2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings

Other

Other13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016
CountryChina
CityHangzhou
Period10/25/1610/28/16

Fingerprint Dive into the research topics of 'Reduced complexity look-up table based π-rotation LDPC decoder'. Together they form a unique fingerprint.

Cite this