后向散射在利用光谱分解方法识别环路组成中的应用

Ioan Duma, Teodora-Cristina Stoian, R. Dobre
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引用次数: 0

摘要

在众多已发表的研究中,允许环路构成识别,回声分辨率问题仍然是一个开放的问题。不幸的是,现有的替代算法在大多数实际情况下收敛速度很慢。因此,本文的目的是提出一种基于正则对角线形式的矩阵谱分解方法的解析模型。对三种类型的用户环路(三段环路、带有桥接抽头的非均匀网络和上述环路的级联)的分析代表了本研究的基本主题,并通过仿真结果和图形表示加以说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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