A weight-vector LMS algorithm for adaptive beamforming

Lau, Y, Hussain, Z and Harris, R 2004, 'A weight-vector LMS algorithm for adaptive beamforming', in E. Leelarasmee (ed.) IEEE TENCON 2004, Chiang Mai, Thailand, 21-24 November 2004.

Document type: Conference Paper
Collection: Conference Papers

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Title A weight-vector LMS algorithm for adaptive beamforming
Author(s) Lau, Y
Hussain, Z
Harris, R
Year 2004
Conference name Analog and Digital Techniques in Electrical Engineering
Conference location Chiang Mai, Thailand
Conference dates 21-24 November 2004
Proceedings title IEEE TENCON 2004
Editor(s) E. Leelarasmee
Publisher IEEE
Place of publication New Jersey
Abstract The conventional adaptive LMS algorithm has been utilized in array antenna beamforming to direct the radiated power towards the desired signal and the multipath signals. In this paper, we present two new weight-vector adaptive LMS algorithms (WV-LMS) for minimum mean square error (MMSE) beamforming adaptive algorithm. Rather than using a fixed convergence parameter μ in the conventional LMS algorithm, the two proposed algorithms exploit the useful information in the forward prediction of the weights vector. We used the forward prediction of the weights vector to dynamically change the convergence parameter μn. Both algorithms have been tested for beamforming using a narrow-band FM signal and have been shown to provide better MMSE performance than the conventional LMS.
Subjects Broadband and Modem Technology
DOI - identifier 10.1109/TENCON.2004.1414465
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