An improved image processing-based method for disturbance classification in telecommunication networks

This paper deals with the problem of the automatic classification of the disturbances affecting the quadrature amplitude modulation (QAM). This problem arises when a continuous monitoring system is needed for improving the quality of service in communication networks based on such a modulation scheme. In particular, a measurement method based on image processing is proposed. It automatically analyzes the constellation diagram and selects the disturbance actually present through a template-matching technique. The results of the first simulations, carried out on signals affected by different disturbances and signal-to-noise ratios (SNRs), are presented and discussed. Some experimental results are also given.