Dai, S., Li, M., Abbasi, Q. H. and Imran, M. (2019) Hardware Efficient Adaptive Beamformer Based on Cyclic Variable Step Size. In: 2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Boston, MA, USA, 8-13 July 2018, pp. 191-192. ISBN 9781538671023 (doi: 10.1109/APUSNCURSINRSM.2018.8608636)
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Abstract
This paper presents an improved adaptive beamforming solution based on Global Sidelobe Canceler (GSC) and Least Mean Square (LMS). By analyzing the impact of step size on LMS performance, a simple yet effective new Cyclic Variable Step Size (CVSS) algorithm is proposed to enhance the convergence speed and excess MSE performance of LMS. By adding just a few shift operations to adapt the step size cyclically, the CVSS LMS is efficient for hardware implementation. Initial study shows that it's possible to double the convergence speed with minimum overhead. The numerical simulation confirmed the effectiveness and performance of the algorithm.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Abbasi, Professor Qammer and Imran, Professor Muhammad and Dai, ShaoWei and Li, Dr David |
| Authors: | Dai, S., Li, M., Abbasi, Q. H., and Imran, M. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy College of Science and Engineering > School of Engineering |
| ISSN: | 1947-1491 |
| ISBN: | 9781538671023 |
| Published Online: | 14 January 2019 |
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