An extended generalized minimum distance decoding for binary linear codes on a 4-level quantization over an AWGN channel

Shunsuke Ueda, Ken Ikuta, Takuya Kusaka, Md Al Amin Khandaker, Md Arshad Ali, Yasuyuki Nogami

Research output: Contribution to journalArticle

Abstract

Generalized Minimum Distance (GMD) decoding is a well-known soft-decision decoding for linear codes. Previous research on GMD decoding focused mainly on unquantized AWGN channels with BPSK signaling for binary linear codes. In this paper, a study on the design of a 4-level uniform quantizer for GMD decoding is given. In addition, an extended version of a GMD decoding algorithm for a 4-level quantizer is proposed, and the effectiveness of the proposed decoding is shown by simulation.

Original languageEnglish
Pages (from-to)1235-1244
Number of pages10
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE101A
Issue number8
DOIs
Publication statusPublished - Aug 1 2018

Fingerprint

Binary Code
Linear Codes
Minimum Distance
Decoding
Quantization
Simulation

Keywords

  • AWGN
  • Binary linear codes
  • GMD decoding
  • Quantization

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

An extended generalized minimum distance decoding for binary linear codes on a 4-level quantization over an AWGN channel. / Ueda, Shunsuke; Ikuta, Ken; Kusaka, Takuya; Khandaker, Md Al Amin; Ali, Md Arshad; Nogami, Yasuyuki.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E101A, No. 8, 01.08.2018, p. 1235-1244.

Research output: Contribution to journalArticle

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