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Ring code-based multivariate low-density check code design method for satellite communication link

A low-density check code and satellite communication technology, which is applied in the field of multi-element low-density check code design based on ring codes for satellite communication links, can solve problems such as tight link budget and high propagation loss of satellite communication links, and achieve Simplify the construction method, improve the decoding performance, and the effect of high-efficiency coding

Pending Publication Date: 2021-12-31
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is how to design an efficient and hardware resource-saving multi-element low-density parity code design method based on ring codes to solve problems due to the very high propagation loss of satellite communication links and the tight link budget. , which can be provided to the problem of very harsh hardware implementation conditions for multiple LDPC codecs

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  • Ring code-based multivariate low-density check code design method for satellite communication link
  • Ring code-based multivariate low-density check code design method for satellite communication link
  • Ring code-based multivariate low-density check code design method for satellite communication link

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Embodiment 1

[0040] In this embodiment, n represents a finite field GF (2 6 ), k b=288 represents the number of information bits, k represents the number of information symbols, R represents the code rate, H represents the parity check matrix, H b represents the basis matrix.

[0041] like figure 1 As shown, a ring code-based multivariate low-density check code design method for satellite communication links, the specific implementation steps are as follows:

[0042] 1. Define the finite field GF(2 6 )

[0043] For the prime number 2, there exists a finite field, expressed as GF(2), which contains 2 elements {0, 1}. Extend GF(2) to a 2 6 The field of elements, denoted as GF(2 6 ). GF(2 6 ) in any non-zero element can be represented by the power of its primitive element α=2, GF(2 6 ) on the infinite set F can be formed according to the element set {0,1,α}, and the latter element is obtained by multiplying an item by α, then the infinite set F is as follows:

[0044] F={0,α 0 ,α ...

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Abstract

The invention discloses a ring code-based multivariate low-density check code design method for a satellite communication link, belongs to the technical field of encoding and decoding, and aims to solve the problem that hardware implementation conditions for multivariate LDPC encoding and decoding are very harsh due to the fact that the satellite communication link has very high propagation loss and is tense in link budget. The multivariate low-density check code design method based on the ring code is efficient and capable of saving hardware resources. The method specifically comprises the steps of firstly determining a basis matrix of a QC-LDPC code, then obtaining a finite field element corresponding to the basis matrix, finally expanding the basis matrix and a finite field element matrix, and finally performing Hadamard product operation to obtain a check matrix of the multivariate QC-LDPC code. According to the method, the construction method of the multivariate LDPC code is simplified, the decoding performance of the LDPC code is effectively improved at the same time, and the method is suitable for an environment in which hardware implementation conditions of multivariate LDPC encoding and decoding of a satellite communication link are very harsh.

Description

technical field [0001] The invention belongs to the technical field of coding and decoding, and relates to a ring code-based multivariate low-density check code design method for a satellite communication link. Background technique [0002] Channel coding is an important technology to improve the reliability of information transmission, and it is one of the research hotspots in the field of information theory to find coding and decoding schemes with excellent performance and low implementation complexity. With the rise of iterative decoding ideas and sparse graph codes, Low-Density Parity-Check (LDPC) codes have been widely studied and applied. For a long time, the theoretical research and practical application of binary LDPC codes have been greatly developed; however, the development of multivariate LDPC codes has been hindered due to its high decoding complexity and other reasons. Many existing research results show that, compared with binary LDPC codes, multivariate LDPC...

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Application Information

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IPC IPC(8): H04L1/00H03M13/11H04B7/185
CPCH04L1/0061H04L1/004H03M13/116H04B7/18513Y02D30/70
Inventor 姚艳军赵飞飞邹永庆王烁任伟龙王昕章明明赵宇峰章仁飞胡树楷
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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