基于图像处理的数字通信网应力分类方法

P. Daponte, G. Mercurio, S. Rapuano, G. Truglia
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引用次数: 4

摘要

本文研究了正交调幅(QAM)的应力自动分类问题。当基于这种调制方案的通信网络需要一个连续的监控系统来提高服务质量(QoS)时,就会出现这个问题。特别提出了一种基于图像处理的方法。通过模板匹配技术,自动分析星座图,选择实际存在的应力。对不同应力和信噪比影响下的信号进行了第一次仿真,给出了仿真结果并进行了讨论。并给出了一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An image processing based method for stress classification in digital telecommunication networks
The paper faces the problem of the automatic classification of the stresses affecting the quadrature amplitude modulation (QAM). This problem arises when a continuous monitoring system is needed for improving the quality of service (QoS) in communication networks based on such a modulation scheme. In particular, a method based on image processing is proposed. It automatically analyses the constellation diagram and selects the stress actually present through a template matching technique. The results of the first simulations, carried out on signals affected by different stresses and SNRs are presented and discussed. Some experimental results are also shown.
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