Efficient and Exact Evaluation of the Weight Spectral Shape and Typical Minimum Distance of Protograph LDPC Codes

In this letter, an analytical method for evaluating the weight spectral shape of a nonbinary protograph low-density parity-check code ensemble is provided. This method, which requires simultaneous solution of a system of equations, is more efficient to implement than the existing methods that require the numerical solution of a high-dimensional maximization problem. It is also shown that by adding a single equation to the proposed system, it is possible to directly solve for the typical minimum distance of the ensemble. This makes the proposed method particularly useful for the ensemble design scenario where a constraint is placed on the typical minimum distance. The proposed method is verified through the evaluation of the weight spectral shape of some example protograph ensembles.

[1]  William E. Ryan,et al.  Enumerators for Protograph-Based Ensembles of LDPC and Generalized LDPC Codes , 2011, IEEE Transactions on Information Theory.

[2]  David Declercq,et al.  Weight Distributions of Non-binary LDPC Codes , 2011, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[3]  Gianluigi Liva,et al.  Non-Binary LDPC Erasure Codes With Separated Low-Degree Variable Nodes , 2015, IEEE Transactions on Communications.

[4]  Lara Dolecek,et al.  Non-Binary Protograph-Based LDPC Codes: Enumerators, Analysis, and Designs , 2014, IEEE Transactions on Information Theory.

[5]  Rüdiger L. Urbanke,et al.  Weight Distribution of Low-Density Parity-Check Codes , 2006, IEEE Transactions on Information Theory.

[6]  David Declercq,et al.  Weight distributions of non-binary multi-edge type LDPC code ensembles , 2017, 2015 IEEE International Symposium on Information Theory (ISIT).

[7]  Robert G. Gallager,et al.  Low-density parity-check codes , 1962, IRE Trans. Inf. Theory.