Title

A Novel Digital Beamforming Technique Based On Homogeneous Adaptation Employing Time-Varying Convergence Factors

Abstract

In this paper, a novel complex homogeneous adaptation least mean square algorithm (complex HA-LMS) for digital beamforming is presented. The proposed technique independently adjusts the real and imaginary components of the complex adaptive filter coefficients using optimally derived convergence factors. In addition, the convergence factors are updated at very sample iteration. The complex HA-LMS is applied to adaptive beamforming in a multiantenna receiver processing Quadrature Amplitude Modulation (QAM) signals. Extensive simulation results show that the complex HA-LMS exhibits improved and consistent performance, in terms of the Symbol Error Rate (SER) and convergence speed, for different flat fading channel conditions and varied number of antenna elements, in contrast to the complex Least Mean Square algorithm (complex LMS) which uses a fixed convergence factor. ©2009 IEEE.

Publication Date

7-21-2009

Publication Title

RWS 2009 IEEE Radio and Wireless Symposium, Proceedings

Number of Pages

558-561

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/RWS.2009.4957412

Socpus ID

67650544890 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/67650544890

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