Research on Beidou New Generation Emergency Group Communication Decision-Making Mechanism

Liang, Wenjuan; Zeng, Ying; Zhu, Wenqi; Shi, Zhan; Li, Xingnan; Yu, Liang

doi:10.1109/icicn56848.2022.10006568

Cited by 1 publication

(1 citation statement)

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“…Whether it is land, sea, or air, it can realize communication connections and fill the areas that cannot be covered by ground infrastructure. It is often used for disaster-relief emergency communication and the real-time transmission of battlefield information [2]. Due to the long distance of satellite communications, the signal will be significantly attenuated during transmission, and the communication link will be affected by weather conditions such as clouds and rain [3], resulting in a high bit error rate (BER).…”

Section: Introductionmentioning

confidence: 99%

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

He,

Wang

2024

Applied Sciences

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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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Section: Introductionmentioning

confidence: 99%