A. Chandra, Pavel Kukolev, T. Mikulášek, A. Prokeš
{"title":"Frequency-domain in-vehicle channel modelling in mmW band","authors":"A. Chandra, Pavel Kukolev, T. Mikulášek, A. Prokeš","doi":"10.1109/RTSI.2015.7325079","DOIUrl":null,"url":null,"abstract":"The goal of this paper is to characterize frequency domain channel transfer function of intra vehicular millimeter wave links in the 60 GHz band. It is found that the complex transfer function may be decomposed into two terms, the first one being a real valued long term trend that characterizes frequency dependency with a power law, and the second term forms a complex correlative discrete series which may be represented via an autoregressive model. The proposed model is validated by comparing the simulated transfer function with the measured data. Simulated values for the coherence bandwidth, power delay profile, and the root mean square delay spread are also in good agreement with the experimental values.","PeriodicalId":187166,"journal":{"name":"2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTSI.2015.7325079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The goal of this paper is to characterize frequency domain channel transfer function of intra vehicular millimeter wave links in the 60 GHz band. It is found that the complex transfer function may be decomposed into two terms, the first one being a real valued long term trend that characterizes frequency dependency with a power law, and the second term forms a complex correlative discrete series which may be represented via an autoregressive model. The proposed model is validated by comparing the simulated transfer function with the measured data. Simulated values for the coherence bandwidth, power delay profile, and the root mean square delay spread are also in good agreement with the experimental values.