@inproceedings{a109cc50e5c646a59803611dd2b3fa88,
title = "Hardware Efficient Adaptive Beamformer Based on Cyclic Variable Step Size",
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.",
author = "Shaowei Dai and Minghui Li and Abbasi, \{Qammer H.\} and Muhammad Imran",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",
year = "2018",
doi = "10.1109/APUSNCURSINRSM.2018.8608636",
language = "English",
series = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "191--192",
booktitle = "2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings",
address = "United States",
}