{"title":"无线通信信道指纹特征建模","authors":"Chunli Jiang, Zhenglin Li","doi":"10.1109/CGNCC.2016.7829051","DOIUrl":null,"url":null,"abstract":"A novel graphic modeling method of obtaining the fingerprint characteristics of wireless communication channel was provided in the paper. Firstly, discrete Fourier transforms was carried on to the sample data of each channel. And then a three-dimensional image was generated by taking the frequency as X coordinates, the channel number as Y coordinates, and the frequency amplitude as Z coordinates. After the image had been applied to mathematical interpolation, amplitude normalization, extended maximum value filtering, numerical binarization and burr elimination, a binary valued image with fingerprint feature is obtained. Application results showed that this type of fingerprint image can effectively distinguish different scenes of wireless communication.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Modeling of fingerprint characteristics of wireless communication channel\",\"authors\":\"Chunli Jiang, Zhenglin Li\",\"doi\":\"10.1109/CGNCC.2016.7829051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel graphic modeling method of obtaining the fingerprint characteristics of wireless communication channel was provided in the paper. Firstly, discrete Fourier transforms was carried on to the sample data of each channel. And then a three-dimensional image was generated by taking the frequency as X coordinates, the channel number as Y coordinates, and the frequency amplitude as Z coordinates. After the image had been applied to mathematical interpolation, amplitude normalization, extended maximum value filtering, numerical binarization and burr elimination, a binary valued image with fingerprint feature is obtained. Application results showed that this type of fingerprint image can effectively distinguish different scenes of wireless communication.\",\"PeriodicalId\":426650,\"journal\":{\"name\":\"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CGNCC.2016.7829051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGNCC.2016.7829051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of fingerprint characteristics of wireless communication channel
A novel graphic modeling method of obtaining the fingerprint characteristics of wireless communication channel was provided in the paper. Firstly, discrete Fourier transforms was carried on to the sample data of each channel. And then a three-dimensional image was generated by taking the frequency as X coordinates, the channel number as Y coordinates, and the frequency amplitude as Z coordinates. After the image had been applied to mathematical interpolation, amplitude normalization, extended maximum value filtering, numerical binarization and burr elimination, a binary valued image with fingerprint feature is obtained. Application results showed that this type of fingerprint image can effectively distinguish different scenes of wireless communication.