Progressive Differences Convolutional Low-Density Parity-Check Codes
Abstract
We present a new family of low-density parity-check (LDPC) convolutional codes that can be designed using ordered sets of progressive differences. We study their properties and define a subset of codes in this class that have some desirable features, such as fixed minimum distance and Tanner graphs without short cycles. The design approach we propose ensures that these properties are guaranteed independently of the code rate. This makes these codes of interest in many practical applications, particularly when high rate codes are needed for saving bandwidth. We provide some examples of coded transmission schemes exploiting this new class of codes.
Cite
@article{arxiv.1209.1911,
title = {Progressive Differences Convolutional Low-Density Parity-Check Codes},
author = {Marco Baldi and Marco Bianchi and Giovanni Cancellieri and Franco Chiaraluce},
journal= {arXiv preprint arXiv:1209.1911},
year = {2012}
}
Comments
8 pages, 2 figures. Accepted for publication in IEEE Communications Letters. Copyright transferred to IEEE