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LDPC Codes Satisfying the Constraint

S. Babvey, Stephen McLaughlin

Published Jan 1, 2005• 0 citations
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THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. This paper analyzes trapping set structure of binary regular LDPC codes whose parity-check matrices satisfy the constraint that no two rows (or two columns) have more than one place where they both have non-zero components, which is called row-column (RC) constraint. For a (γ,ρ)-regular LDPC code whose parity-check matrix satisfies the RC-constraint, its Tanner graph contains no (κ, τ) trapping set with size κ ≤ γ and number τ of odd degree check nodes less than γ. For several classes of RC-constrained regular LDPC codes constructed algebraically, we show that their Tanner graphs contain no trapping sets of sizes smaller than their minimum weights.
For any column weight J and any row weight L, a novel framework is proposed such that a girth-eight (J,L) quasi-cyclic low-density parity-check (QC-LDPC) code with any block length above a lower bound can be constructed via a simple inequality in terms of greatest common divisor (GCD). The main advantage is that the construction of a class of (J,L) girth-eight QC-LDPC codes is transformed into a rather simple task, searching for J integers satisfying the so-called GCD constraint for L. Combining the new method with masking matrices, a class of type-1 QC-LDPC codes is presented with girth at least eight. Simulation results show that the type-1 codes perform better than the random QC-LDPC codes and quadratic-congruence-based QC-LDPC codes for moderate block lengths and low code rates.
In this letter, we propose a new technique to design quasi-cyclic low-density parity-check (QC-LDPC) codes with girth 8 and variable node degrees 3 and 4. Small trapping sets are avoided in the designed codes by imposing simple constraints on the cycles of length 8 in the code's Tanner graph. We also derive lower bounds on the block length of the codes that can satisfy such constraints. Simulation results are provided to demonstrate the superiority of the designed codes in comparison with similar codes in the literature.