DocumentCode :
1520830
Title :
A frequency-domain approach to crosstalk identification in xDSL systems
Author :
Galli, Stefano ; Valenti, Craig ; Kerpez, Kenneth J.
Author_Institution :
Telcordia Technol. Inc., Morristown, NJ, USA
Volume :
19
Issue :
8
fYear :
2001
fDate :
8/1/2001 12:00:00 AM
Firstpage :
1497
Lastpage :
1506
Abstract :
Crosstalk between multiple services transmitting through the same telephone cable is the primary limitation to digital subscriber line services. From a spectrum management point of view, it is important to have an accurate map of all the services that generate crosstalk into a given pair. If crosstalk is measured via modem-based methods, i.e., while a digital subscriber line (DSL) system is running, what is measured is the crosstalk in the bandwidth of the considered DSL system. For this reason, DSL services running on adjacent pairs may not be detected if their bandwidth is not significantly overlapping with the bandwidth of the disturbed system. This is a major drawback of modem-based system identification techniques since, from a spectrum management point of view, it is important to be able to identify all crosstalkers. We address the important problem of crosstalk identification when the pair under test does not bear DSL services, i.e., via a non-modem-based approach. Crosstalk sources are identified in the frequency domain by finding the maximum correlation with a “basis set” of representative measured crosstalk couplings. The effectiveness of the proposed technique is also verified on the basis of real crosstalk measurements performed on actual cables. Finally, new techniques based on multiple regression and best basis selection are also discussed
Keywords :
correlation methods; crosstalk; digital subscriber lines; frequency-domain analysis; modems; spectral analysis; statistical analysis; twisted pair cables; DSL services; DSL system; bandwidth; basis set; best basis selection; crosstalk identification; crosstalk measurement; crosstalk sources; digital subscriber line services; frequency-domain approach; maximum correlation; modem-based methods; modem-based system identification; multiple regression; pair under test; power spectral density; spectrum management; telephone cable; xDSL systems; Bandwidth; Communication cables; Crosstalk; DSL; Frequency domain analysis; Frequency measurement; Radio spectrum management; System identification; Telephony; Testing;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.942512
Filename :
942512
Link To Document :
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