Please use this identifier to cite or link to this item:
|Title:||Coherent LMS algorithms|
|Authors:||Liang, Y.-C. |
|Citation:||Liang, 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|
|Abstract:||Pilot 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.|
|Source Title:||IEEE Communications Letters|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 20, 2018
WEB OF SCIENCETM
checked on Sep 5, 2018
checked on Jun 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.