{"title":"Performance Analysis of SISO and MIMO Communication Systems using Multiple Point Scatter Model","authors":"Daniel Kuyoli Ngala, K. A. Opare, E. Affum","doi":"10.1109/ICMRSISIIT46373.2020.9405822","DOIUrl":null,"url":null,"abstract":"Multi input Multi Output (MIMO) communication systems have several advantages in terms of data rate and reliability as compared to Single Input Single Output (SISO) communication systems. A model for SISO and MIMO using multiple point scatterers at mobile station is considered in this paper. A review of some single and multiple antenna configurations and a discussion on using singular value decomposition (SVD) in computing the capacity of MIMO are presented. Numerical results with three individual modes along with their singular values achieved by diagonalization process will also be demonstrated.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/ICMRSISIIT46373.2020.9405822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multi input Multi Output (MIMO) communication systems have several advantages in terms of data rate and reliability as compared to Single Input Single Output (SISO) communication systems. A model for SISO and MIMO using multiple point scatterers at mobile station is considered in this paper. A review of some single and multiple antenna configurations and a discussion on using singular value decomposition (SVD) in computing the capacity of MIMO are presented. Numerical results with three individual modes along with their singular values achieved by diagonalization process will also be demonstrated.
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Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively.
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