On the probabilistic computation of the stopping redundancy of LDPC codes

  • Authors:
  • Masanori Hirotomo;Yoshiho Konishi;Masakatu Morii

  • Affiliations:
  • Graduate School of Engineering, Kobe University, Kobe, Japan;Graduate School of Engineering, Kobe University, Kobe, Japan;Graduate School of Engineering, Kobe University, Kobe, Japan

  • Venue:
  • ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

On the binary erasure channel (BEC), the performance of low-density parity-check (LDPC) codes decoded by iterative algorithms is estimated by the small stopping sets in the codes. The size of smallest stopping set is called the stopping distance. Since it depends on the structure of parity-check matrix for the code, we can construct the parity-check matrix by adding dependent rows so that the stopping distance is equal to the minimum distance. The stopping redundancy is defined as the smallest number of rows in such a parity-check matrix. In this paper, we propose a probabilistic algorithm for computing the stopping redundancy of LDPC codes. Additionally, we show numerical results of computing the stopping redundancy of (155,64), (504,252) and (1008,504) LDPC codes.