Abstract
An independent tree-based method for lower bounding the minimum distance of low-density parity-check (LDPC) codes is presented. This lower-bound is then used as the decision criterion during the iterative construction of regular LDPC codes. The new construction algorithm results in LDPC codes with greater girth and improved minimum-distance bounds when compared to regular LDPC codes constructed using the progressive edge-growth (PEG) construction and the approximate cycle extrinsic message degree (ACE)-constrained PEG construction. Simulation results of codes constructed with the new method show improved performance on the additive white Gaussian noise channel at moderate signal-to-noise ratios.
Original language | English (US) |
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Article number | 5696808 |
Pages (from-to) | 334-336 |
Number of pages | 3 |
Journal | IEEE Communications Letters |
Volume | 15 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2011 |
Keywords
- LDPC codes
- computation tree
- girth
- iterative decoding
- minimum distance
- progressive edge-growth (PEG)
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Science Applications
- Electrical and Electronic Engineering