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Open Access

Efficient Helicopter -Satellite Communication Scheme Based on Check-Hybrid LDPC Coding

Ping Wang, Liuguo Yin( ), Jianhua Lu
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
EDA Laboratory, Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China.
School of Information Science and Technology, Tsinghua University, Beijing 100084, China.
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Abstract

When implementing helicopter -satellite communications, periodical interruption of the received signal is a challenging problem because the communication antenna is intermittently blocked by the rotating blades of the helicopter. The helicopter -satellite channel model and the Forward Error Control (FEC) coding countermeasure are presented in this paper. On the basis of this model, Check-Hybrid (CH) Low-Density Parity-Check (LDPC) codes are designed to mitigate the periodical blockage over the helicopter -satellite channels. The CH-LDPC code is derived by replacing part of single parity-check code constraints in a Quasi-Cyclic LDPC (QC-LDPC) code by using more powerful linear block code constraints. In particular, a method of optimizing the CH-LDPC code ensemble by searching the best matching component code among a variety of linear block codes using extrinsic information transfer charts is proposed. Simulation results show that, the CH-LDPC coding scheme designed for the helicopter -satellite channels in this paper achieves more than 25% bandwidth efficiency improvement, compared with the FEC scheme that uses QC-LDPC codes.

Keywords

Low-Density Parity-Check (LDPC) codeshelicopter-satellite communicationscheck-hybridExtrinsic Information Transfer (EXIT)iterative decoding

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Tsinghua Science and Technology
Volume 23 Issue 3,
June 2018
Pages 323-332
DOI: 10.26599/TST.2018.9010038
Cite this article:
Wang P, Yin L, Lu J. Efficient Helicopter -Satellite Communication Scheme Based on Check-Hybrid LDPC Coding. Tsinghua Science and Technology, 2018, 23(3): 323-332. https://doi.org/10.26599/TST.2018.9010038

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Received: 03 November 2017
Accepted: 27 November 2017
Published: 02 July 2018
© The author(s) 2018
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