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
Copyright Status
Unknown
Socpus ID
67650544890 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/67650544890
STARS Citation
Ranganathan, Raghuram and Mikhael, Dr Wasfy, "A Novel Digital Beamforming Technique Based On Homogeneous Adaptation Employing Time-Varying Convergence Factors" (2009). Scopus Export 2000s. 12126.
https://stars.library.ucf.edu/scopus2000/12126