PROJECT TITLE :

A PEG Construction of Finite-Length LDPC Codes with Low Error Floor

ABSTRACT:

The progressive-edge-growth (PEG) algorithm of Hu et al. is modified to boost the error floor performance of the made low-density parity-check (LDPC) codes. To enhance the error floor, the initial PEG algorithm is equipped with an efficient algorithm to find the dominant elementary trapping sets (ETS's) that are added to the Tanner graph of the underneath-construction code by the addition of each variable node and its adjacent edges. The aim is to select the edges, among the candidates offered at each step of the first PEG algorithm, that stop the creation of dominant ETS's. The proposed methodology is applicable to each regular and irregular variable node degree distributions. Simulation results are presented to demonstrate the superior ETS distribution and error floor performance of the constructed codes compared to similar codes made by the original and different modifications of the PEG algorithm.


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