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Binder Identification Using Pattern Recognition on Phantom Measurements

Santos, Reginaldo; Sales, Claudomiro; Lima, Manoel; Rodrigues, Caio; Araujo, Alessandra; Gomes, Walisson Cardoso; Fertner, Antoni LU and Costa, Joao C W A (2016) In IEEE Transactions on Instrumentation and Measurement 65(3). p.522-534
Abstract

This paper proposes an automatic method for the identification of twisted pairs (TPs) sharing the same binder, based on the analysis of phantom circuit measurements. This type of circuit is often used for improving data transmission rates in communication systems, but in this paper, phantoming is used to reveal if a four-wire loop composed of two TPs is close enough and well balanced in order to be considered in the same binder. The method uses four features extracted from scattering parameter measures in phantom-mode between two TPs. These features are related to the presence of periodicities and impedance mismatch between the measurement device and the four-wire transmission line. The identification is done via application of two... (More)

This paper proposes an automatic method for the identification of twisted pairs (TPs) sharing the same binder, based on the analysis of phantom circuit measurements. This type of circuit is often used for improving data transmission rates in communication systems, but in this paper, phantoming is used to reveal if a four-wire loop composed of two TPs is close enough and well balanced in order to be considered in the same binder. The method uses four features extracted from scattering parameter measures in phantom-mode between two TPs. These features are related to the presence of periodicities and impedance mismatch between the measurement device and the four-wire transmission line. The identification is done via application of two pattern recognition techniques, support vector machines and K-means, on scattering parameter obtained from the phantom-mode measurement of two TPs. This paper also describes a method to determine the length of the two TPs that share the same binder. Laboratory results confirm the accuracy of the proposed methods.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Binder identification, digital subscriber line (DSL), K-means, phantom-mode measurement, support vector machine (SVM)
in
IEEE Transactions on Instrumentation and Measurement
volume
65
issue
3
pages
13 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • Scopus:84951310742
ISSN
0018-9456
DOI
10.1109/TIM.2015.2505983
language
English
LU publication?
yes
id
6380c80e-7b12-4da9-a78c-475e52cd21b6
date added to LUP
2016-07-08 11:13:49
date last changed
2016-07-08 11:13:49
@misc{6380c80e-7b12-4da9-a78c-475e52cd21b6,
  abstract     = {<p>This paper proposes an automatic method for the identification of twisted pairs (TPs) sharing the same binder, based on the analysis of phantom circuit measurements. This type of circuit is often used for improving data transmission rates in communication systems, but in this paper, phantoming is used to reveal if a four-wire loop composed of two TPs is close enough and well balanced in order to be considered in the same binder. The method uses four features extracted from scattering parameter measures in phantom-mode between two TPs. These features are related to the presence of periodicities and impedance mismatch between the measurement device and the four-wire transmission line. The identification is done via application of two pattern recognition techniques, support vector machines and K-means, on scattering parameter obtained from the phantom-mode measurement of two TPs. This paper also describes a method to determine the length of the two TPs that share the same binder. Laboratory results confirm the accuracy of the proposed methods.</p>},
  author       = {Santos, Reginaldo and Sales, Claudomiro and Lima, Manoel and Rodrigues, Caio and Araujo, Alessandra and Gomes, Walisson Cardoso and Fertner, Antoni and Costa, Joao C W A},
  issn         = {0018-9456},
  keyword      = {Binder identification,digital subscriber line (DSL),K-means,phantom-mode measurement,support vector machine (SVM)},
  language     = {eng},
  month        = {03},
  number       = {3},
  pages        = {522--534},
  publisher    = {ARRAY(0xcccc230)},
  series       = {IEEE Transactions on Instrumentation and Measurement},
  title        = {Binder Identification Using Pattern Recognition on Phantom Measurements},
  url          = {http://dx.doi.org/10.1109/TIM.2015.2505983},
  volume       = {65},
  year         = {2016},
}