稀疏信道估计、均衡及译码联合处理水声通信技术研究

Underwater communication is the key support technology for various navy operations, and has been widely used in military and commercial applications. As channel estimation, equalization and decoding operations are separated from each other in traditional underwater communication receivers, system performance and transmission efficiency are greatly deteriorated. This project focuses on the urgent requirements for high-rate reliable underwater communications, sparse channel estimation, equalization and decoding joint processing (SCEEDJP) underwater communication techniques are proposed to improve the channel estimation and symbol equalization accuracy, as well as the system reliability and transmission efficiency. Key techniques of compressed sensing measurement matrix design, low complexity reconstruction algorithm, soft information aided frequency offset estimation and compensation, sparse channel estimation, equalization and decoding joint processing receiver algorithm will be thoroughly researched. It is our belief that the research results of this project will greatly advance the development of underwater communication transmission technology, speed up the deployment of underwater network and help achieve the information advantages in underwater applications.

水声通信是保障现代海军遂行各种作战任务的主要手段之一，在军事及民用领域应用广泛。传统水声通信接收机的信道估计、均衡及译码过程相互独立，严重影响系统稳健性和传输效率。本项目密切结合我国高速可靠水声通信技术发展的迫切需求，深入开展稀疏信道估计、均衡及译码联合处理水声通信技术研究，突破压缩感知测量矩阵优化设计、低复杂度重构算法、软信息辅助频偏估计、联合处理接收机算法等关键技术，解决信道估计、均衡与译码分离的传统接收机算法在中低信噪比条件下的性能瓶颈问题，提高水声通信系统的可靠性和传输速率。该项目的研究成果对于提高我国水声通信系统传输速率和可靠性，加速建立水下数据网络，夺取水下制信息权具有重要的理论意义和应用前景。

水声通信是保障现代海军遂行各种作战任务的主要手段之一，在军事及民用领域应用广泛。传统水声通信接收机的信道估计、均衡及译码过程相互独立，严重影响系统稳健性和传输效率，特别是在中低信噪比条件下，硬判决带来的错误传播问题严重影响水声通信链路质量。本项目密切结合我国高速可靠水声通信技术发展的迫切需求，深入开展了稀疏信道估计、均衡及译码联合处理水声通信技术研究，突破压缩感知测量矩阵优化设计、低复杂度重构算法、联合处理接收机算法等关键技术，解决信道估计、均衡与译码分离的传统接收机算法在中低信噪比条件下的性能瓶颈问题，提高水声通信系统的可靠性和传输效率。该项目的研究成果对于提高我国水声通信系统的传输速率和可靠性，加速建立水下数据网络，夺取水下制信息权具有重要的理论意义和应用前景。