{"title":"后向散射在利用光谱分解方法识别环路组成中的应用","authors":"Ioan Duma, Teodora-Cristina Stoian, R. Dobre","doi":"10.1109/comm54429.2022.9817174","DOIUrl":null,"url":null,"abstract":"Among numerous published research allowing loop make-up identification, the echo resolution problem still remains an open matter. The existing alternative algorithms are, unfortunately, slow to converge for most practical situations. Therefore, it is the object of this paper to give a proposed analytical model for the approach of the echo resolution, by using matrix spectral decomposition based on canonical diagonal form. The analysis of three types of subscriber loops (a loop with three sections, a non-homogeneous network with a bridged tap and a cascade of above-mentioned loops) represents the basic topic of this study, illustrated by simulation results and graphic representations.","PeriodicalId":118077,"journal":{"name":"2022 14th International Conference on Communications (COMM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Backscattering Applications in Loop Make-Up Identification via Spectral Decomposition Methods\",\"authors\":\"Ioan Duma, Teodora-Cristina Stoian, R. Dobre\",\"doi\":\"10.1109/comm54429.2022.9817174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Among numerous published research allowing loop make-up identification, the echo resolution problem still remains an open matter. The existing alternative algorithms are, unfortunately, slow to converge for most practical situations. Therefore, it is the object of this paper to give a proposed analytical model for the approach of the echo resolution, by using matrix spectral decomposition based on canonical diagonal form. The analysis of three types of subscriber loops (a loop with three sections, a non-homogeneous network with a bridged tap and a cascade of above-mentioned loops) represents the basic topic of this study, illustrated by simulation results and graphic representations.\",\"PeriodicalId\":118077,\"journal\":{\"name\":\"2022 14th International Conference on Communications (COMM)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Communications (COMM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/comm54429.2022.9817174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Communications (COMM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/comm54429.2022.9817174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Backscattering Applications in Loop Make-Up Identification via Spectral Decomposition Methods
Among numerous published research allowing loop make-up identification, the echo resolution problem still remains an open matter. The existing alternative algorithms are, unfortunately, slow to converge for most practical situations. Therefore, it is the object of this paper to give a proposed analytical model for the approach of the echo resolution, by using matrix spectral decomposition based on canonical diagonal form. The analysis of three types of subscriber loops (a loop with three sections, a non-homogeneous network with a bridged tap and a cascade of above-mentioned loops) represents the basic topic of this study, illustrated by simulation results and graphic representations.