Performance of the LMS algorithm on the estimation of time-varying channels
The performance of the least-mean-square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix and the mean square error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually a...
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creator | Galdino, J.F. Pinto, E.L. de Alencar, M.S. |
description | The performance of the least-mean-square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix and the mean square error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary discrete time stochastic field with known autocorrelation. The expression for the steady state MSE is particularized assuming wide sense stationary-uncorrelated scattering (WSS-US) channel model. Several estimates of MSE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results is shown. |
doi_str_mv | 10.1109/ICC.2002.996824 |
format | Conference Proceeding |
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Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary discrete time stochastic field with known autocorrelation. The expression for the steady state MSE is particularized assuming wide sense stationary-uncorrelated scattering (WSS-US) channel model. Several estimates of MSE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results is shown.</description><identifier>ISBN: 0780374002</identifier><identifier>ISBN: 9780780374003</identifier><identifier>DOI: 10.1109/ICC.2002.996824</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Autocorrelation ; Context ; Estimation error ; Least squares approximation ; Mean square error methods ; Performance analysis ; Steady-state ; Stochastic processes ; Time-varying channels</subject><ispartof>2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. 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No.02CH37333)</title><addtitle>ICC</addtitle><description>The performance of the least-mean-square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix and the mean square error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary discrete time stochastic field with known autocorrelation. The expression for the steady state MSE is particularized assuming wide sense stationary-uncorrelated scattering (WSS-US) channel model. Several estimates of MSE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results is shown.</description><subject>Algorithm design and analysis</subject><subject>Autocorrelation</subject><subject>Context</subject><subject>Estimation error</subject><subject>Least squares approximation</subject><subject>Mean square error methods</subject><subject>Performance analysis</subject><subject>Steady-state</subject><subject>Stochastic processes</subject><subject>Time-varying channels</subject><isbn>0780374002</isbn><isbn>9780780374003</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT01Lw0AUXBBBrT0LnvYPJO5X8rJHCWqLEQX1XN4mb5uVfMgmCP33jda5DDMMwwxjN1KkUgp7ty3LVAmhUmvzQpkzdiWgEBrM4l2w9TR9iQUmM0LLS_b8RtGPscehJj56PrfEq5d3jt1-jGFuez4OfyZNc-hxDov8jYWekh-MhzDsed3iMFA3XbNzj91E639esc_Hh49yk1SvT9vyvkqCBDUnoGsEVZNxYLEuABVhgcI1uYTGSLBONwSLVh5cY2WutS0IMqE9ZLlxesVuT72BiHbfcdkVD7vTXX0EmeNK3Q</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>Galdino, J.F.</creator><creator>Pinto, E.L.</creator><creator>de Alencar, M.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2002</creationdate><title>Performance of the LMS algorithm on the estimation of time-varying channels</title><author>Galdino, J.F. ; Pinto, E.L. ; de Alencar, M.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-73ca72ce4b79ac87a2ea8a0bd617d4179b3de70bd2f7bd9163398e7503f7564b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Algorithm design and analysis</topic><topic>Autocorrelation</topic><topic>Context</topic><topic>Estimation error</topic><topic>Least squares approximation</topic><topic>Mean square error methods</topic><topic>Performance analysis</topic><topic>Steady-state</topic><topic>Stochastic processes</topic><topic>Time-varying channels</topic><toplevel>online_resources</toplevel><creatorcontrib>Galdino, J.F.</creatorcontrib><creatorcontrib>Pinto, E.L.</creatorcontrib><creatorcontrib>de Alencar, M.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Galdino, J.F.</au><au>Pinto, E.L.</au><au>de Alencar, M.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance of the LMS algorithm on the estimation of time-varying channels</atitle><btitle>2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)</btitle><stitle>ICC</stitle><date>2002</date><risdate>2002</risdate><volume>1</volume><spage>94</spage><epage>98 vol.1</epage><pages>94-98 vol.1</pages><isbn>0780374002</isbn><isbn>9780780374003</isbn><abstract>The performance of the least-mean-square (LMS) algorithm on the estimation of time-varying channels is analytically evaluated, using the estimation error correlation matrix and the mean square error (MSE) as parameters. Expressions for those parameters are obtained from a set of hypotheses usually adopted in the communication systems context. The channel is modeled as a wide sense stationary discrete time stochastic field with known autocorrelation. The expression for the steady state MSE is particularized assuming wide sense stationary-uncorrelated scattering (WSS-US) channel model. Several estimates of MSE curves obtained by computer simulation are compared with analytical results for validation purposes. A very good agreement between simulated and analytical results is shown.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2002.996824</doi></addata></record> |
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subjects | Algorithm design and analysis Autocorrelation Context Estimation error Least squares approximation Mean square error methods Performance analysis Steady-state Stochastic processes Time-varying channels |
title | Performance of the LMS algorithm on the estimation of time-varying channels |
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