Rank Analysis and Its Applications for Quasi-Cyclic Low-Density Parity-Check Codes
In this paper, we develop a new approach for rank analysis of parity-check matrices for quasi-cyclic low-density parity-check codes based on the associated polynomials of circulant matrices, applicable to general finite fields and arbitrary circulant sizes. Some formulas on the rank for parity-check matrices with one, two, and three row-blocks are first derived. For the general case with arbitrary numbers of row-blocks, lower and upper bounds on the rank are presented, and these bounds can be combined to give the exact rank result under certain conditions. We also investigate the effect on the rank by changing the circulant size. Furthermore, we study the relations between the rank of the masked matrix and that of the masking matrix, which can be used to predict the rank of the parity-check matrix after masking. The obtained rank analysis results are then applied to several classes of existing algebraically constructed parity-check matrices, along with their masked matrices. Finally, we demonstrate how rank analysis can be used in the code design procedure.
Authors
- Chung-Hsuan Wang (ORCID: https://orcid.org/0000-0002-5076-918X)
- Chi-chao Chao (ORCID: https://orcid.org/0000-0002-5259-2488)
- Po‐Chun Yang (ORCID: https://orcid.org/0009-0004-3407-9463)
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Tsing Hua University (TW)
Publication Details
- Journal
- IEEE Transactions on Information Theory
- Published
- 2025-09-17
- DOI
- https://doi.org/10.1109/tit.2025.3611129
- Primary Topic
- Error Correcting Code Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00