基于信道短化和圆球译码的水声通信迭代序列检测

作     者：瞿逢重 方浩 涂星滨 魏艳 章旻昊 杨劭坚 Fengzhong Qu;Hao Fang;Xingbin Tu;Yan Wei;Minhao Zhang;Shaojian Yang

作者机构：The Engineering Research Center of Oceanic Sensing Technology and EquipmentMinistry of EducationZhoushan 316021China The Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang ProvinceZhejiang UniversityZhoushan 316021China Hainan Institute of Zhejiang UniversitySanya 572025China 

出 版 物：《哈尔滨工程大学学报（英文版）》 (Journal of Marine Science and Application)

年 卷 期：2024年第23卷第1期

页      面：238-246页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0824[工学-船舶与海洋工程] 

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos. 62101489  62171405 and 62225114 

主　　题：Underwater acoustic communications(UACs) Maximum likelihood sequence estimation(MLSE) Channel shortening Sphere decoding(SD) Iterative detection 

摘      要：The demand for high-data-rate underwater acoustic communications(UACs)in marine development is increasing;however,severe multipaths make demodulation a *** decision feedback equalizer(DFE)is one of the most popular equalizers in UAC;however,it is not the optimal *** maximum likelihood sequence estimation(MLSE)is the optimal algorithm,its complexity increases exponentially with the number of channel taps,making it challenging to apply to ***,this paper proposes a complexity-reduced MLSE to improve the bit error rate(BER)performance in multipath *** the proposed algorithm,the original channel is first shortened using a channel-shortening method,and several dominant channel taps are selected for ***,sphere decoding(SD)is performed in the following *** are applied to eliminate inter-symbol interference caused by weak channel *** simulation and sea experiment demonstrate the superiority of the proposed *** simulation results show that channel shortening combined with SD can drastically reduce computational complexity,and iterative SD performs better than DFE based on recursive least squares(RLS-DFE),DFE based on improved proportionate normalized least mean squares(IPNLMS-DFE),and channel estimation-based DFE(CE-DFE).Moreover,the sea experimental results at Zhairuoshan Island in Zhoushan show that the proposed receiver scheme has improved BER performance over RLSDFE,IPNLMS-DFE,and *** with the RLS-DFE,the BER,after five iterations,is reduced from 0.0076 to 0.0037 in the 8–12 k Hz band and from 0.1516 to 0.1145 in the 13–17 k Hz band at a distance of 2000 ***,the proposed algorithm makes it possible to apply MLSE in UAC in practical scenarios.