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.
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 equaliza-tion 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 sig-nificantly 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.
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
Key words
Polar code/Multi-branch equalization/Reed-Muller construction/Soft list decoding/Underwater acoustic communication
维普
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