On iterative decoding of short codes

Nimrod Shacham, Ofer Amrani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper is concerned with iterative decoding of short error correcting codes having high density parity check matrices (HDPC Codes). There is a need for reliable graph-based iterative decoding of short codes; for instance this is beneficial in the framework of a newly introduced random version of OFDMA (R-OFDMA) [1]. We first note how the structure of the parity check matrix can alter an iterative decoder's performance. Specifically we focus on the allowable redundancies in the matrices, where it is possible to benefit from inserting redundant parity checks without altering the code properties. We then employ computation tree analysis and density evolution which both support simulation results showing a performance improvement.

Original languageEnglish
Title of host publication2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021529
DOIs
StatePublished - 4 Jan 2017
Event2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel
Duration: 16 Nov 201618 Nov 2016

Publication series

Name2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/TerritoryIsrael
CityEilat
Period16/11/1618/11/16

Fingerprint

Dive into the research topics of 'On iterative decoding of short codes'. Together they form a unique fingerprint.

Cite this