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Research Article | Open Access

Reduced-Complexity Decoding of 3D Product Codes for Satellite Communications

Yue Xu1, Ming Jiang1,2( ), Mingyang Zhu1, Nan Hu3, Chunming Zhao1,2, Jiangzhou Wang4
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Purple Mountain Laboratories, Nanjing 210096, China
Institute of Wireless and Terminal Technology, China Mobile Research Institute, Beijing 100032, China
School of Engineering, University of Kent, Canterbury CT2 7NT, UK
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Abstract

This paper aims to provide a reduced-complexity decoding for satellite communication systems to enhance system performance and transmission efficiency. By addressing the complexity, error rate, and latency issues for satellite communications, a novel 3-dimensional product decoding scheme is proposed. The density evolution algorithm is also introduced to analyze and optimize for the binary message passing decoding, which further reduces the computational complexity and latency. The simulation results show that the proposed method can obtain about 0.3- and 0.15-dB performance gains compared to the similar decodings of the conventional 2-dimensional BCH product codes and staircase codes, respectively. Our proposed coding scheme offers a broad prospect to the critical issues of transmission latency and data throughput in satellite networks.

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Space: Science & Technology
Article number: 0096

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Cite this article:
Xu Y, Jiang M, Zhu M, et al. Reduced-Complexity Decoding of 3D Product Codes for Satellite Communications. Space: Science & Technology, 2024, 4: 0096. https://doi.org/10.34133/space.0096

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Received: 08 July 2023
Accepted: 16 October 2023
Published: 23 January 2024
© 2024 Yue Xu et al. Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works.

Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0).