Analysis of scaling soft information on low density parity check code

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Density evolution is used to analyse the scaling of soft information in the iterative decoding of low density parity check codes. Based on the min-sum algorithm and Gaussian approximation, the thresholds are evaluated with various scaling factors. The optimal scaling factor is found by density evolution and the expected scaling gain matches well with the achievable scaling gain from simulation results.

Original languageEnglish
Pages (from-to)219-221
Number of pages3
JournalElectronics Letters
Volume39
Issue number2
DOIs
Publication statusPublished - 2003 Jan 23
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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