R. Parra-Michel, A. Alcocer-Ochoa, A. Sanchez-Hernandez, V. Kontorovich
{"title":"MIMO信道建模与仿真","authors":"R. Parra-Michel, A. Alcocer-Ochoa, A. Sanchez-Hernandez, V. Kontorovich","doi":"10.5772/7441","DOIUrl":null,"url":null,"abstract":"This document studies a method of MIMO channel modeling and simulation for mobile communication system. Both spatial correlation and fading in time domain are integrated into this model, and many channel parameters such as time dispersion, Doppler effect, direction of arrival, azimuth spread, and power azimuth spectrum are fully considered in this model. We simulate this MIMO channel according to the parameters of 3GPP.25.996.The result show that the new method matches the analytical result very well.","PeriodicalId":18640,"journal":{"name":"Microcomputer Information","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"MIMO Channel Modeling and Simulation\",\"authors\":\"R. Parra-Michel, A. Alcocer-Ochoa, A. Sanchez-Hernandez, V. Kontorovich\",\"doi\":\"10.5772/7441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This document studies a method of MIMO channel modeling and simulation for mobile communication system. Both spatial correlation and fading in time domain are integrated into this model, and many channel parameters such as time dispersion, Doppler effect, direction of arrival, azimuth spread, and power azimuth spectrum are fully considered in this model. We simulate this MIMO channel according to the parameters of 3GPP.25.996.The result show that the new method matches the analytical result very well.\",\"PeriodicalId\":18640,\"journal\":{\"name\":\"Microcomputer Information\",\"volume\":\"4 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microcomputer Information\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.5772/7441\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microcomputer Information","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.5772/7441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This document studies a method of MIMO channel modeling and simulation for mobile communication system. Both spatial correlation and fading in time domain are integrated into this model, and many channel parameters such as time dispersion, Doppler effect, direction of arrival, azimuth spread, and power azimuth spectrum are fully considered in this model. We simulate this MIMO channel according to the parameters of 3GPP.25.996.The result show that the new method matches the analytical result very well.
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