A study on the error performance of soft-decision decodings for binary linear codes on a 4-level quantization over an awgn channel

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3 Citations (Scopus)

Abstract

In this paper, a study on the design and implementation of uniform 4-level quantizers for soft-decision decodings for binary linear codes is shown. Simulation results on quantized Viterbi decoding with a 4-level quantizer for the (64, 42, 8) Reed-Muller code show that the optimum stepsize, which is derived from the cutoff rate, gives an almost optimum error performance. In addition, the simulation results show that the case where the number ofoptimum codewordsislarger than the one fora received sequence causes non-negligible degradation on error performance at high SN ratios of Eb/N0.

Original languageEnglish
Pages (from-to)3016-3022
Number of pages7
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE100A
Issue number12
DOIs
Publication statusPublished - Dec 1 2017

Fingerprint

Binary Code
Linear Codes
Decoding
Quantization
Reed-Muller Codes
Simulation
Degradation
Design

Keywords

  • AWGN
  • Binary linear codes
  • Error performance
  • Quantization

ASJC Scopus subject areas

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

Cite this

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abstract = "In this paper, a study on the design and implementation of uniform 4-level quantizers for soft-decision decodings for binary linear codes is shown. Simulation results on quantized Viterbi decoding with a 4-level quantizer for the (64, 42, 8) Reed-Muller code show that the optimum stepsize, which is derived from the cutoff rate, gives an almost optimum error performance. In addition, the simulation results show that the case where the number ofoptimum codewordsislarger than the one fora received sequence causes non-negligible degradation on error performance at high SN ratios of Eb/N0.",
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