Independent Vector Analysis Based Blind Interference Reduction and Signal Recovery for MIMO IoT Green Communications  

作　　者：Zhongqiang Luo Mingchun Li Chengjie Li 

机构地区：[1]School of Automation and Information Engineering,Sichuan University of Science and Engineering,Yibin 644000,China [2]Artificial Intelligence Key Laboratory of Sichuan Province,Sichuan University of Science and Engineering,Yibin 644000,China [3]School of School of Computer Science and Technology,Southwest Minzu University,Chengdu 610041,China

出　　处：《China Communications》2022年第7期79-88,共10页中国通信（英文版）

基　　金：supported in part by Sichuan Science and Technology Program under Grant 2020JDJQ0061, 2021YFG0099;in part by Innovation Fund of Chinese Universities under Grant 2020HYA04001;in part by the Sichuan University of Science and Engineering Talent Introduction Project under Grant 2020RC33;in part by the Artificial Intelligence Key Laboratory of Sichuan Province Project under Grant 2021RZJ03 and 2021RZJ04

摘　　要：In application to time convolutive mixing model or frequency domain blind separation model for wireless receiving applications,frequency domain independent component analysis(FDICA)has been a very popular method but with adverse random permutation ambiguity influence.In order to solve this inherent problem in FDICA assisted multiple-input multiple-output orthogonal frequency-division multiplexing(MIMO-OFDM)based the Internet of Thing(IoT)systems,this paper proposes an new detection mechanism,named independent vector analysis(IVA),for realizing blind adaptive signal recovery in MIMO IoT green communication to reduce inter-carrier interference(ICI)and multiple access interference(MAI).IVA jointly implements separation work for different frequency bin data while the FDICA deals with it separately.In IVA,the dependencies of frequency bins can be exploited in mitigating the random permutation problem.In addition,multivariate prior distributions are employed to preserve the inter-frequency dependencies for individual sources,which can result in separation performance enhancement.Simulation results and analysis corroborate the effectiveness of the proposed method.

关 键 词：independent vector analysis blind source separation MIMO green communications 

分 类 号：TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]