A wavelet‐based expert system for digital subscriber line topology identification

Abstract

This work proposes a new method for automatically identifying topologies of lines with one or more sections in a telephone network. The method is based on the examination of both impulse response and time-domain reflectometry trace of a line under test. They are analyzed using a method based on the wavelet transform that identifies and extracts features that contain information about the line topology. Those features are interpreted by an expert system composed of three sequential modules that estimate, respectively, the type of line makeup (serial or bridge tap), the lengths of the line sections, and the corresponding cable type, which are the parameters that completely identify the topology according to the assumed model. A thorough comparison with two state-of-the-art methods is also presented using several twisted-pair copper cables. The results show that the proposed method provides good accuracy with respect to topology identification at low computational cost.

Performance estimation and analysis of power line communication using single-ended loop testing

“…Topology estimation using single-ended loop testing (SELT) for two wire telephone lines is well studied in the literature [11][12][13]. A hybrid SELT method with a combination of correlation time domain reflectometry (CTDR) and frequency domain reflectometry (FDR) for the extraction of telephone line has been discussed [12,13].…”

Clustering Strategies for Binder Identification Using Phantom Measurements

“…The method is an adaptation of the expert system described in [8], which is a wavelet-based technique. The technique converts the S P M 11 measurement to the time-domain response by the inverse Fourier transform.…”