Crosstalk identification in xDSL systems
Crosstalk among telephone lines in the same or neighboring bundles is a major impairment in current xDSL systems. This paper proposes a novel idea of an impartial third party that identifies the crosstalk coupling functions among the twisted pairs in these xDSL systems. The crosstalk identification...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2001-08, Vol.19 (8), p.1488-1496 |
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creator | Chaohuang Zeng Aldana, C. Salvekar, A.A. Cioffi, J.M. |
description | Crosstalk among telephone lines in the same or neighboring bundles is a major impairment in current xDSL systems. This paper proposes a novel idea of an impartial third party that identifies the crosstalk coupling functions among the twisted pairs in these xDSL systems. The crosstalk identification technique includes the following four major procedures: (1) the transmitted and received signals from each DSL modem for a predefined time period are collected and sent to the third party; (2) the signals are resampled according to the clock rate of the receiver of interest; (3) the signals' timing differences are estimated by cross correlation; and (4) the crosstalk coupling functions are estimated using the least-squares method. The performance of the cross correlation and least-squares methods is analyzed to determine the amount of data needed for identification. Simulation results show that the proposed methods can identify the crosstalk functions accurately and are consistent with theoretical analysis. These identified crosstalk functions can be used to significantly improve the data rate (e.g., multiuser detection) and to facilitate provisioning, maintenance, and diagnosis of the xDSL systems. |
doi_str_mv | 10.1109/49.942511 |
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This paper proposes a novel idea of an impartial third party that identifies the crosstalk coupling functions among the twisted pairs in these xDSL systems. The crosstalk identification technique includes the following four major procedures: (1) the transmitted and received signals from each DSL modem for a predefined time period are collected and sent to the third party; (2) the signals are resampled according to the clock rate of the receiver of interest; (3) the signals' timing differences are estimated by cross correlation; and (4) the crosstalk coupling functions are estimated using the least-squares method. The performance of the cross correlation and least-squares methods is analyzed to determine the amount of data needed for identification. Simulation results show that the proposed methods can identify the crosstalk functions accurately and are consistent with theoretical analysis. These identified crosstalk functions can be used to significantly improve the data rate (e.g., multiuser detection) and to facilitate provisioning, maintenance, and diagnosis of the xDSL systems.</description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/49.942511</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Analytical models ; Bundles ; Clocks ; Cross correlation ; Crosstalk ; DSL ; Impairment ; Joining ; Least squares method ; Modems ; Multiuser detection ; Performance analysis ; Provisioning ; Signal processing ; Simulation ; Telephony ; Timing</subject><ispartof>IEEE journal on selected areas in communications, 2001-08, Vol.19 (8), p.1488-1496</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2001</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c336t-5528b0eb2b5d081f5f004eea9846e0c4931112a9fb583693a51af1e0e1ab629d3</citedby><cites>FETCH-LOGICAL-c336t-5528b0eb2b5d081f5f004eea9846e0c4931112a9fb583693a51af1e0e1ab629d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/942511$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/942511$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chaohuang Zeng</creatorcontrib><creatorcontrib>Aldana, C.</creatorcontrib><creatorcontrib>Salvekar, A.A.</creatorcontrib><creatorcontrib>Cioffi, J.M.</creatorcontrib><title>Crosstalk identification in xDSL systems</title><title>IEEE journal on selected areas in communications</title><addtitle>J-SAC</addtitle><description>Crosstalk among telephone lines in the same or neighboring bundles is a major impairment in current xDSL systems. This paper proposes a novel idea of an impartial third party that identifies the crosstalk coupling functions among the twisted pairs in these xDSL systems. The crosstalk identification technique includes the following four major procedures: (1) the transmitted and received signals from each DSL modem for a predefined time period are collected and sent to the third party; (2) the signals are resampled according to the clock rate of the receiver of interest; (3) the signals' timing differences are estimated by cross correlation; and (4) the crosstalk coupling functions are estimated using the least-squares method. The performance of the cross correlation and least-squares methods is analyzed to determine the amount of data needed for identification. Simulation results show that the proposed methods can identify the crosstalk functions accurately and are consistent with theoretical analysis. These identified crosstalk functions can be used to significantly improve the data rate (e.g., multiuser detection) and to facilitate provisioning, maintenance, and diagnosis of the xDSL systems.</description><subject>Analytical models</subject><subject>Bundles</subject><subject>Clocks</subject><subject>Cross correlation</subject><subject>Crosstalk</subject><subject>DSL</subject><subject>Impairment</subject><subject>Joining</subject><subject>Least squares method</subject><subject>Modems</subject><subject>Multiuser detection</subject><subject>Performance analysis</subject><subject>Provisioning</subject><subject>Signal processing</subject><subject>Simulation</subject><subject>Telephony</subject><subject>Timing</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90LtPwzAQBnALgUQpDKxMEQOPIeXOj9QeUXlKlRiA2XLSs-SSJhCnEv3vcZWKgYHphvvp093H2CnCBBHMjTQTI7lC3GMjVErnAKD32QimQuR6isUhO4pxCYBSaj5iV7OujbF39UcWFtT0wYfK9aFtstBk33ev8yxuYk-reMwOvKsjnezmmL0_3L_NnvL5y-Pz7HaeV0IUfa4U1yVQyUu1AI1eeQBJ5IyWBUEljUBE7owvlRaFEU6h80hA6MqCm4UYs8sh97Nrv9YUe7sKsaK6dg2162gNyiJBAUle_Cu55gq4niZ4_gcu23XXpC-sTmcZw7lM6HpA1baQjrz97MLKdRuLYLfVWmnsUG2yZ4MNRPTrdssf0aZwvw</recordid><startdate>20010801</startdate><enddate>20010801</enddate><creator>Chaohuang Zeng</creator><creator>Aldana, C.</creator><creator>Salvekar, A.A.</creator><creator>Cioffi, J.M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20010801</creationdate><title>Crosstalk identification in xDSL systems</title><author>Chaohuang Zeng ; Aldana, C. ; Salvekar, A.A. ; Cioffi, J.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c336t-5528b0eb2b5d081f5f004eea9846e0c4931112a9fb583693a51af1e0e1ab629d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Analytical models</topic><topic>Bundles</topic><topic>Clocks</topic><topic>Cross correlation</topic><topic>Crosstalk</topic><topic>DSL</topic><topic>Impairment</topic><topic>Joining</topic><topic>Least squares method</topic><topic>Modems</topic><topic>Multiuser detection</topic><topic>Performance analysis</topic><topic>Provisioning</topic><topic>Signal processing</topic><topic>Simulation</topic><topic>Telephony</topic><topic>Timing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chaohuang Zeng</creatorcontrib><creatorcontrib>Aldana, C.</creatorcontrib><creatorcontrib>Salvekar, A.A.</creatorcontrib><creatorcontrib>Cioffi, J.M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE journal on selected areas in communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chaohuang Zeng</au><au>Aldana, C.</au><au>Salvekar, A.A.</au><au>Cioffi, J.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Crosstalk identification in xDSL systems</atitle><jtitle>IEEE journal on selected areas in communications</jtitle><stitle>J-SAC</stitle><date>2001-08-01</date><risdate>2001</risdate><volume>19</volume><issue>8</issue><spage>1488</spage><epage>1496</epage><pages>1488-1496</pages><issn>0733-8716</issn><eissn>1558-0008</eissn><coden>ISACEM</coden><abstract>Crosstalk among telephone lines in the same or neighboring bundles is a major impairment in current xDSL systems. This paper proposes a novel idea of an impartial third party that identifies the crosstalk coupling functions among the twisted pairs in these xDSL systems. The crosstalk identification technique includes the following four major procedures: (1) the transmitted and received signals from each DSL modem for a predefined time period are collected and sent to the third party; (2) the signals are resampled according to the clock rate of the receiver of interest; (3) the signals' timing differences are estimated by cross correlation; and (4) the crosstalk coupling functions are estimated using the least-squares method. The performance of the cross correlation and least-squares methods is analyzed to determine the amount of data needed for identification. Simulation results show that the proposed methods can identify the crosstalk functions accurately and are consistent with theoretical analysis. These identified crosstalk functions can be used to significantly improve the data rate (e.g., multiuser detection) and to facilitate provisioning, maintenance, and diagnosis of the xDSL systems.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/49.942511</doi><tpages>9</tpages></addata></record> |
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subjects | Analytical models Bundles Clocks Cross correlation Crosstalk DSL Impairment Joining Least squares method Modems Multiuser detection Performance analysis Provisioning Signal processing Simulation Telephony Timing |
title | Crosstalk identification in xDSL systems |
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