Research on Low-Density Parity-Check Decoding Algorithm for Reliable Transmission in Satellite Communications

Satellite communications face difficulties such as intensified environmental attenuation, dynamic time-varying links, and diverse business scenarios, which usually require channel coding schemes with high coding gain and high throughput. Low-density parity-check (LDPC) codes are dominant in satellit...

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Bibliographic Details
Published in:Applied sciences Vol. 14; no. 2; p. 746
Main Authors: He, Yuanzhi, Wang, Yaoling
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.01.2024
Subjects:
Algorithms
Artificial satellites
channel coding
Codes
Coding standards
Computer simulation
Design
Error-correcting codes
Information processing
LDPC code
Low density parity check codes
multi-dimensional information iterative decoding
Parity
reliable transmission
Satellite communications
Simulation methods
Specific gravity
ISSN:2076-3417, 2076-3417
Online Access:Get full text
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Summary:Satellite communications face difficulties such as intensified environmental attenuation, dynamic time-varying links, and diverse business scenarios, which usually require channel coding schemes with high coding gain and high throughput. Low-density parity-check (LDPC) codes are dominant in satellite communication coding schemes due to their excellent performance in approaching the Shannon limit and the characteristics of parallel computing. The traditional weighted-Algorithm B decoding algorithm ignores the channel received information and involves frequent multiplication operations and iteration, which introduces the channel received information for hard-decision and constellation mapping processing. Meanwhile, we design the correlated reliability between the extrinsic information and the mapping processing information to improve the correctness of decoding. The multiplication operation in the iterative process can be replaced by the simple sum of the Hamming distance coefficient, the correlated reliability between the extrinsic information and the mapping processing information, and the extrinsic information frequency, thereby reducing the complexity and storage load of the system. The simulation results show that the presented MRAI-LDPC algorithm can obtain about 0.4 dB performance gain, and the average number of iterations is reduced by 68% under a low SNR. The algorithm can achieve better error-correcting performance and higher throughput, providing strong support for reliable transmission of satellite communications.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app14020746