Earticle

초록

영어

In this paper, we propose an efficient technique for an iterative soft input soft output (SISO) decoding algorithm of block turbo codes with constituent Hamming codes. Pyndiah’s iterative decoding algorithm for block turbo codes supports various code rates by using concatenation, and shows high bit error rate (BER) performance in an additive white Gaussian noise channel (AWGN) environment as the iterative decoding progresses. However, one disadvantage of this code is that the delay increases during decoding with an increasing number of iterations. By employing syndrome-based iterative SISO decoding and iterative SISO decoding using an alpha value, we could obtain high BER performance. In addition, we propose a SISO-hybrid maximum likelihood decoding (SISO-H-MLD) algorithm which achieves almost the same performance as SISO decoding while reducing the number of iterations.

목차

Abstract
 1. Introduction
 2. Encoding for Block Turbo Codes
 3. Low-Complexity SISO Decoding
 4. Iterative SISO Decoding Using an Alpha Value
 5. SISO-Hybrid Maximum Likelihood Decoding
  5.1. Performance of the Proposed Algorithm
 6. Conclusion
 Acknowledgment
 References

키워드

저자

• Je-Hun Lim [ Department of intelligent transport systems, 2571 Geoga-daero, Gangseo-gu, Busan, 46770, Korea ]
• Young-Joon Song [ Department of Electronic Engineering, Kumoh National Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605