{"title":"基于散射体粗糙度校准的信道相关矩阵外推法","authors":"Heling Zhang, Xiujun Zhang, Xiaofeng Zhong, Shidong Zhou","doi":"arxiv-2409.10900","DOIUrl":null,"url":null,"abstract":"To estimate the channel correlation matrix (CCM) in areas where channel\ninformation cannot be collected in advance, this paper proposes a way to\nspatially extrapolate CCM based on the calibration of the surface roughness\nparameters of scatterers in the propagation scene. We calibrate the roughness\nparameters of scene scatters based on CCM data in some specific areas. From\nthese calibrated roughness parameters, we are able to generate a good\nprediction of the CCM for any other area in the scene by performing ray\ntracing. Simulation results show that the channel extrapolation method proposed\nin this paper can effectively realize the extrapolation of the CCM between\ndifferent areas in frequency domain, or even from one domain to another.","PeriodicalId":501034,"journal":{"name":"arXiv - EE - Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers\",\"authors\":\"Heling Zhang, Xiujun Zhang, Xiaofeng Zhong, Shidong Zhou\",\"doi\":\"arxiv-2409.10900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To estimate the channel correlation matrix (CCM) in areas where channel\\ninformation cannot be collected in advance, this paper proposes a way to\\nspatially extrapolate CCM based on the calibration of the surface roughness\\nparameters of scatterers in the propagation scene. We calibrate the roughness\\nparameters of scene scatters based on CCM data in some specific areas. From\\nthese calibrated roughness parameters, we are able to generate a good\\nprediction of the CCM for any other area in the scene by performing ray\\ntracing. Simulation results show that the channel extrapolation method proposed\\nin this paper can effectively realize the extrapolation of the CCM between\\ndifferent areas in frequency domain, or even from one domain to another.\",\"PeriodicalId\":501034,\"journal\":{\"name\":\"arXiv - EE - Signal Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - EE - Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Channel Correlation Matrix Extrapolation Based on Roughness Calibration of Scatterers
To estimate the channel correlation matrix (CCM) in areas where channel
information cannot be collected in advance, this paper proposes a way to
spatially extrapolate CCM based on the calibration of the surface roughness
parameters of scatterers in the propagation scene. We calibrate the roughness
parameters of scene scatters based on CCM data in some specific areas. From
these calibrated roughness parameters, we are able to generate a good
prediction of the CCM for any other area in the scene by performing ray
tracing. Simulation results show that the channel extrapolation method proposed
in this paper can effectively realize the extrapolation of the CCM between
different areas in frequency domain, or even from one domain to another.