Machine learning-enabled MIMO-FBMC communication channel parameter estimation in IIoT: A distributed CS approach

作     者：Han Wang Fida Hussain Memon Xianpeng Wang Xingwang Li Ning Zhao Kapal Dev Han Wang;Fida Hussain Memon;Xianpeng Wang;Xingwang Li;Ning Zhao;Kapal Dev

作者机构：College of Physical Science&EngineeringYichun UniversityYichun336000China State Key Laboratoty of Marine Resource Utilization in South China SeaHainan UniversityHaikou570228China Faculty of Data ScienceCity University of MacaoMacao999078China Physics and Electronic Information EngineeringHenan Polytechnic UniversityJiaozuo454000China Department of MechatronicsAMM Lab Jeju National UniversitySouth Korea Department of Electrical EngineeringSukkur IBA UniversityPakistan Department of Institute of Intellligent SystemsUniversity of JohannesburgSouth Africa 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2023年第9卷第2期

页      面：306-312页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported by National Natural Science Foundation of China under Grant Nos.61901409 and 61961013 Jiangxi Provincial Natural Science Foundation under Grant No.20202BABL212001 Open Project of State Key Laboratory of Marine Resources Utilization in South China Sea under Grant No.MRUKF2021034 

主　　题：IIoT Machine learning Distributed compressed sensing MIMO-FBMC Channel estimation 

摘      要：Compressed Sensing(CS)is a Machine Learning(ML)method,which can be regarded as a single-layer unsupervised learning *** mainly emphasizes the sparsity of the *** this paper,we study an ML-based CS Channel Estimation(CE)method for wireless communications,which plays an important role in Industrial Internet of Things(IIoT)*** the sparse correlation between channels in Multiple Input Multiple Output Filter Bank MultiCarrier with Offset Quadrature Amplitude Modulation(MIMO-FBMC/OQAM)systems,a Distributed Compressed Sensing(DCS)-based CE approach is studied.A distributed sparse adaptive weak selection threshold method is proposed for ***,the correlation between MIMO channels is utilized to represent a joint sparse model,and CE is transformed into a joint sparse signal reconstruction ***,the number of correlation atoms for inner product operation is optimized by weak selection threshold,and sparse signal reconstruction is realized by sparse *** experiment results show that the proposed DCS-based method not only estimates the multipath channel components accurately but also achieves higher CE performance than classical Orthogonal Matching Pursuit(OMP)method and other traditional DCS methods in the time-frequency dual selective channels.