Tree-Based Construction of LDPC Codes Having Good Pseudocodeword Weights

  • Authors:
  • C. A. Kelley;D. Sridhara;J. Rosenthal

  • Affiliations:
  • Dept. of Math., Notre Dame Univ., IN;-;-

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 2007

Quantified Score

Hi-index 754.84

Visualization

Abstract

We present a tree-based construction of low-density parity-check (LDPC) codes that have minimum pseudocodeword weight equal to or almost equal to the minimum distance, and perform well with iterative decoding. The construction involves enumerating a d-regular tree for a fixed number of layers and employing a connection algorithm based on permutations or mutually orthogonal Latin squares to close the tree. Methods are presented for degrees d=ps and d=ps+1, for p a prime. One class corresponds to the well-known finite-geometry and finite generalized quadrangle LDPC codes; the other codes presented are new. We also present some bounds on pseudocodeword weight for p-ary LDPC codes. Treating these codes as p-ary LDPC codes rather than binary LDPC codes improves their rates, minimum distances, and pseudocodeword weights, thereby giving a new importance to the finite-geometry LDPC codes where p>2