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适用于水声通信的联合多分支均衡与极化码译码算法
刘志勇,王润晖,唐新丰,刘彪,王金龙,王晨旭,周志权
0
(1.哈尔滨工业大学(威海)信息科学与工程学院,威海 264209;2.山东省海洋电子信息与智能无人系统重点实验室,威海 264209;3.海洋无人系统跨域协同与综合保障工业和信息化部重点实验室,威海 264209;北京宇航系统工程研究所,北京 100076)
摘要:
在跨介质飞行器进行水下信息交互的诸多场景中,为了进一步提高复杂多变水声环境下水声通信链路的可靠性,提出了一种基于极化码的联合多分支均衡与译码算法(Joint Multi-Branch Equalization and Decoding Algorithm based on Polarization Code, JMED-PC)。与已有均衡与极化码译码间相互独立的方法不同,所提出的算法中多分支均衡与软列表(Soft SC-List, SSCL)译码模块间并非相互独立,而是构成了环路,通过不断地在两个模块间迭代交换软信息,可显著改善均衡和译码的联合性能。仿真结果验证了迭代的有效性,也表明所提算法比已有算法有更好的性能。
关键词:  极化码  多分支均衡  雷德密勒构造  软列表译码  水声通信
DOI:
基金项目:火箭创新基金项目(ZH2022007); 国家自然科学基金(61871148);山东省重大科技创新工程项目(2020CXGC-010705, 2021ZLGX05, 2022ZLGX04)
Joint Multi-Branch Equalization and Polar Code Decoding Algorithm for Underwater Acoustic Communication
LIU Zhiyong,WANG Runhui,TANG Xinfeng,LIU Biao,WANG Jinlong,WANG Chenxu,ZHOU Zhiquan
(1. School of Information Science and Engineering of HIT, Weihai 264209, China;2. Shandong Provincial Key Laboratory of Marine Electronic Information and Intelligent Unmanned Systems, Weihai 264209, China;3. Key Laboratory of Cross-Domain Synergy and Comprehensive Support for Unmanned Marine Systems, Ministry of Industry and Information Technology, Weihai 264209, China;Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China)
Abstract:
In many scenarios of underwater information interaction with sea and air trans-media aircraft,to further improve the reliability of underwater acoustic communication links in complex and variable underwater environments, a joint multi-branch equalization and decoding algorithm based on polarization code(JMED-PC) is proposed.Unlike the existing methods in which equalization and polarization code decoding are independent of each other, the multi-branch equalization and Soft SC-List (SSCL) decoding modules in the proposed algorithm are not independent of each other but form a closed loop, and the joint performance of the equalization and decoding can be significantly improved by continuously and iteratively exchanging the soft information between the two modules.The simulation results validate the effectiveness of the iteration and also show that the proposed algorithm can obtain better performance than the existing algorithms.
Key words:  Polar code  Multi-branch equalization  Reed-Muller construction  Soft list decoding  Underwater acoustic communication

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