LDPC Check Matrix Initialization for Stable High-Rate Transmission
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Solution Overview
Problem
In data transmission using LDPC codes, ensuring favorable communication quality is a challenge, particularly in maintaining error correction capabilities and avoiding error floors in decoding characteristics.
Innovation Solution
The implementation of an LDPC coding method with a specific check matrix of 69120 bits and a code rate of 7/16, where the check matrix includes an information matrix section and a parity matrix section, represented by an initial value table indicating positions of elements, is used for both transmission and reception to enhance communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If LDPC coding is performed with increased code length to approach Shannon limit, then error correction capability is improved, but system complexity increases
Solution Approach 1:
The check matrix is segmented into an information matrix section and a parity matrix section, with the information matrix further represented by an initial value table. This segmentation allows the system to achieve high code length (69120 bits) with structured organization, maintaining error correction capability while managing complexity through modular representation.
Solution Approach 2:
The patent specifies particular parameters for the LDPC code including code length N=69120 bits, code rate r=7/16 or 8/16, and a specific initial value table configuration. By optimizing these parameters, the system achieves performance close to the Shannon limit while maintaining practical implementability through standardized parameter sets.
2Reliability
If conventional LDPC coding is used, then basic error correction is achieved, but error floor phenomenon occurs in decoding characteristics
Solution Approach 1:
The check matrix is designed with different sections having distinct properties: the information matrix section (represented by the initial value table) and the parity matrix section. This local differentiation in matrix structure allows optimization of decoding characteristics in specific regions to eliminate error floor phenomena while maintaining overall code performance.
Solution Approach 2:
The LDPC code structure combines multiple components including information bits, parity bits, an information matrix with specific initial values, and a parity matrix section. This composite structure integrates different functional elements that work together to eliminate error floors while maintaining high error correction capability.
Data Source
AI summary
The present technique relates to a transmission apparatus, a transmission method, a reception apparatus, and a reception method that can ensure favorable communication quality in data transmission using an LDPC code. LDPC coding is performed based on a check matrix of an LDPC code with a code length N of 69120 bits and a code rate r of 7/16 or 8/16. The LDPC code includes information bits and parity bits, and the check matrix includes an information matrix corresponding to the information bits and a parity matrix corresponding to the parity bits. The information matrix is represented by a check matrix initial value table. The check matrix initial value table is a table indicating positions of elements of 1 in the information matrix on the basis of 360 columns and is a predetermined table. The present technique can be applied to, for example, data transmission using the LDPC code.