LDPC code inspection matrix generation method
A technology for checking matrix and decoder, which is applied in the direction of error detection coding, check code calculation, coding and other directions applying multiple parity bits, and can solve problems such as unstable characteristics
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0058] Before explaining the method for generating the check matrix for LDPC codes of this embodiment, it is possible to determine the position of the encoder in the method for generating a check matrix for LDPC codes of this embodiment and the conventional method for generating a check matrix for "Irregular-LDPC codes" Be explained. Furthermore, the structure of the LDPC encoding / decoding system is the same as that described above Figure 13 same.
[0059] In the encoder 101 on the transmission side, an inspection matrix H is generated by the LDPC code inspection matrix generation method of this embodiment described later. Then, the generator matrix G is obtained based on the following conditions.
[0060] G: k×n matrix (k: information length, n: code word length)
[0061] GH T =0(T is transpose matrix)
[0062] Thereafter, in the encoder 101, a message (m 1 m 2 ...m k ), using the generator matrix G above to generate the codeword C.
[0063] C=(m 1 m 2 ...m k )G ...
Embodiment 2
[0101] In Embodiment 2, the Euclidean geometric code is used according to the above-mentioned Embodiment 1, and the arrangement of value 1 in one row or one column is divided to generate a check matrix of "Irregular-LDPC code".
[0102] First, the ensemble of generating functions λ(x) and generating functions ρ(x) is derived by the check matrix generating method using the LDPC code in Embodiment 1. figure 2 Indicates the totality of generating functions λ(x) and generating functions ρ(x) when rate=0.5. Again, σ GA Indicates the noise dispersion value at the "threshold" derived from the Gaussian approximation, SNR norm (GA) represents the difference between the SNR of the "threshold" derived by the Gaussian approximation and the SNR of the Shannon limit, x represents the weight, λ x and ρ x Represents the weight distribution of variable nodes and check nodes, respectively.
[0103] In addition, it is assumed that the Euclidean geometric code used as a reference is EG(2, 2 ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com