{"title":"粒子群算法在MIMO系统互耦控制中的应用","authors":"I. Leal, M. Alencar, W. Lopes","doi":"10.1109/LATINCOM48065.2019.8937863","DOIUrl":null,"url":null,"abstract":"This paper presents a modeling for Multiple Input Multiple Output (MIMO) system considering the mutual coupling between antennas array elements. The conventional-mutual-impedance method (CMIM) and the receiving-mutual-impedance method (RMIM) are considered due to their and good approximation of real models. It presents a lower limit for the distance among the antenna elements in which the mutual coupling effect is minimized and also the importance of the CMIM and RMIM methods in MIMO systems projects. Simulation results show an improvement in the channel capacity performance of 9% for the MIMO 3×3 system.","PeriodicalId":120312,"journal":{"name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Particle Swarm Optimization Applied to Control of Mutual Coupling in MIMO Systems\",\"authors\":\"I. Leal, M. Alencar, W. Lopes\",\"doi\":\"10.1109/LATINCOM48065.2019.8937863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a modeling for Multiple Input Multiple Output (MIMO) system considering the mutual coupling between antennas array elements. The conventional-mutual-impedance method (CMIM) and the receiving-mutual-impedance method (RMIM) are considered due to their and good approximation of real models. It presents a lower limit for the distance among the antenna elements in which the mutual coupling effect is minimized and also the importance of the CMIM and RMIM methods in MIMO systems projects. Simulation results show an improvement in the channel capacity performance of 9% for the MIMO 3×3 system.\",\"PeriodicalId\":120312,\"journal\":{\"name\":\"2019 IEEE Latin-American Conference on Communications (LATINCOM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Latin-American Conference on Communications (LATINCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LATINCOM48065.2019.8937863\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATINCOM48065.2019.8937863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Particle Swarm Optimization Applied to Control of Mutual Coupling in MIMO Systems
This paper presents a modeling for Multiple Input Multiple Output (MIMO) system considering the mutual coupling between antennas array elements. The conventional-mutual-impedance method (CMIM) and the receiving-mutual-impedance method (RMIM) are considered due to their and good approximation of real models. It presents a lower limit for the distance among the antenna elements in which the mutual coupling effect is minimized and also the importance of the CMIM and RMIM methods in MIMO systems projects. Simulation results show an improvement in the channel capacity performance of 9% for the MIMO 3×3 system.
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