Please use this identifier to cite or link to this item: https://doi.org/10.1109/4234.831035
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dc.titleCoherent LMS algorithms
dc.contributor.authorLiang, Y.-C.
dc.contributor.authorChin, F.P.S.
dc.date.accessioned2014-11-28T04:58:48Z
dc.date.available2014-11-28T04:58:48Z
dc.date.issued2000-03
dc.identifier.citationLiang, Y.-C., Chin, F.P.S. (2000-03). Coherent LMS algorithms. IEEE Communications Letters 4 (3) : 92-94. ScholarBank@NUS Repository. https://doi.org/10.1109/4234.831035
dc.identifier.issn10897798
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/112235
dc.description.abstractPilot symbol-assisted adaptive algorithms provide coherent detection for communication systems when the filtering coefficients, such as beamforming weights or equalizer coefficients, are converged. This property can be exploited to speed up the convergence of adaptive algorithms used. In this letter, two new adaptive algorithms, coherent least mean square (C-LMS) and coherent normalized LMS (CN-LMS), are proposed by constraining the desired signal component of the filtering output to be always coherent in phase with the reference signal at each iteration. For same adaption step size, these new algorithms provide faster convergence, while yield same steady-state excess mean-square error as compared with their standard LMS counterparts.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/4234.831035
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCENTRE FOR WIRELESS COMMUNICATIONS
dc.description.doi10.1109/4234.831035
dc.description.sourcetitleIEEE Communications Letters
dc.description.volume4
dc.description.issue3
dc.description.page92-94
dc.description.codenICLEF
dc.identifier.isiut000086290300006
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