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IEEE International Symposium on Information Theory (ISIT)

A PEG-like LDPC code design avoiding short trapping sets

Madiagne Diouf, David Declercq, Samuel Ouya, Bane V. Vasic

Published Jun 1, 2015• 28 citations
Publisher

Abstract

In this paper, we propose a predictive method to construct regular column-weight-three LDPC codes with girth g = 8 so that their Tanner graphs contain a minimum number of small trapping sets. Our construction is based on improvements of the Progressive Edge-Growth (PEG) algorithm. We first show how to detect the smallest trapping sets (5; 3) and (6; 4) in the computation tree spread from variable nodes during the edge assignment. A precise and rigorous characterization of trapping sets (5; 3) and (6; 4) are given, and we then derive a modification of the Randomized Progressive Edge-Growth (RandPEG) algorithm [1] to take into account a new cost function that allows to build regular column-weight dv= 3, girth 8 LDPC codes free of (5,3) and with a minimization of (6,4). We present the construction and the performance results in the context of quasi-cyclic LDPC (QC-LDPC) codes.

DOI
10.1109/isit.2015.7282621

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In this paper, we propose a predictive method to construct regular column-weight-three LDPC codes with girth g = 8 so that their Tanner graphs contain a minimum number of small trapping sets. Our construction is based on improvements of the Progressive Edge-Growth (PEG) algorithm. We first show how to detect the smallest trapping sets (5; 3) and (6; 4) in the computation tree spread from variable nodes during the edge assignment. A precise and rigorous characterization of trapping sets (5; 3) and (6; 4) are given, and we then derive a modification of the Randomized Progressive Edge-Growth (RandPEG) algorithm [1] to take into account a new cost function that allows to build regular column-weight dv= 3, girth 8 LDPC codes free of (5,3) and with a minimization of (6,4). We present the construction and the performance results in the context of quasi-cyclic LDPC (QC-LDPC) codes.
In this paper, we introduce a modified version of the Progressive Edge-Growth (PEG) algorithm that is used to construct the Tanner graphs of quasi-cyclic (QC) low-density parity-check (LDPC) codes having large girth. In our algorithms, we replace certain requirements in the original PEG algorithm, namely the expansion of subgraphs from symbol nodes and the identification of a most distant check node before placing a new edge, by the construction of certain minimal sets, called forbidden sets, that contain the problematic quasi-cyclic constraints that do not let us exceed a given girth. We propose some exponent-selection strategies that are shown to increase the chance of obtaining large girth, and reduce the number of short cycles in the Tanner graph.
One of the phenomena that causes high decoding failure rates is trapping sets. Characterization of (a,b)(a,b)(a,b) elementary trapping sets (ETSs), their graphical properties and the lower bounds on their size in variable regular LDPC codes with column weights 3, 4, 5 and 6, where aaa is the size of the ETS and bbb is the number of degree-one check nodes, have been an interesting subject among researchers. Although progressive-edge-growth method (PEG) to construct LDPC codes free of an specific ETS has been proposed in the literature, it is mostly applied to LDPC codes with column weight 3. In this paper, we focus on constructing QC-LDPC codes with column weight 4 whose Tanner graphs are free of small ETSs. Using coloring the edges of the variable node (VN) graph corresponding to an ETS, we provide the sufficient conditions to obtain QC-LDPC codes with column weight 4, girth 6 and free of (5,b)(5,b)(5,b) ETSs, where b≤4b\leq4b≤4, and (6,b)(6,b)(6,b) ETs, where b≤2b\leq2b≤2. Moreover, for (4,n)(4,n)(4,n)-regular QC-LDPC codes with girth 8, we present a method to remove (7,4)(7,4)(7,4) ETSs from Tanner graphs.
We propose a general method for constructing Tanner graphs having a large girth by establishing edges or connections between symbol and check nodes in an edge-by-edge manner, called progressive edge-growth (PEG) algorithm. Lower bounds on the girth of PEG Tanner graphs and on the minimum distance of the resulting low-density parity-check (LDPC) codes are derived in terms of parameters of the graphs. Simple variations of the PEG algorithm can also be applied to generate linear-time encodeable LDPC codes. Regular and irregular LDPC codes using PEG Tanner graphs and allowing symbol nodes to take values over GF(q) (q>2) are investigated. Simulation results show that the PEG algorithm is a powerful algorithm to generate good short-block-length LDPC codes.
We propose a general method for constructing Tanner graphs having a large girth by establishing edges or connections between symbol and check nodes in an edge-by-edge manner, called progres- sive edge-growth (PEG) algorithm. Lower bounds on the girth of PEG Tanner graphs and on the minimum distance of the resulting low-density parity-check (LDPC) codes are derived in terms of parameters of the graphs. Simple variations of the PEG algorithm can also be applied to generate linear-time encodeable LDPC codes. Regular and irregular LDPC codes using PEG Tanner graphs and allowing symbol nodes to take values over GF are investigated. Simulation results show that the PEG algorithm is a powerful algorithm to generate good short-block-length LDPC codes.
The progressive-edge-growth (PEG) algorithm of Hu et al. is modified to improve the error floor performance of the constructed low-density parity-check (LDPC) codes. To improve the error floor, the original 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 under-construction code by the addition of each variable node and its adjacent edges. The aim is to select the edges, among the candidates available at each step of the original PEG algorithm, that prevent the creation of dominant ETS's. The proposed method is applicable to both 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 constructed by the original and other modifications of the PEG algorithm.
Short cycles in the Tanner graph of a given LDPC code has negative effect on the performance of iterative decoding. To improve the performance, we presented an approach for constructing Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes whose associated Tanner graph has large girth and a small amount of short cycles. Each column block of the parity check matrix was designed by adding circulant permutation sub-matrices one after another, provided the current parity check matrix has minimal number of short cycles. The condition for the proposed QC-LDPC codes to have girth at least 6 was also analyzed. Regular and irregular QC-LDPC codes with various lengths and rates can be constructed. Simulations show that the proposed QC-LDPC codes have less short cycles and better performance than existing progressive edge growth based QC-LDPC codes.