Multibeam Wideband Transmit Beamforming Using 2D Sparse FIR Trapezoidal Filters
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Published:2024-04-28
Issue:2
Volume:14
Page:26
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ISSN:2079-9268
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Container-title:Journal of Low Power Electronics and Applications
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language:en
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Short-container-title:JLPEA
Author:
Dissanayake Nadeeshan1ORCID, Edussooriya Chamira U. S.12ORCID, Wijenayake Chamith3ORCID, Madanayake Arjuna2ORCID
Affiliation:
1. Department of Electronic and Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka 2. Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33199, USA 3. School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, QLD 4072, Australia
Abstract
A low-complexity multibeam wideband transmit beamformer using a 2D sparse FIR filter design capable of multiple beams is proposed as a digital building block for fully digital beamformers. The 2D sparse FIR filter has multiple trapezoid-shaped passbands pertaining to wideband beams aimed at particular directions. The proposed multibeam digital beamformer drives a uniform linear array of wideband antenna elements to achieve the wideband multibeam transmit-mode signals desired by the communication system. The 2D sparse FIR filter is designed to be optimal in the minimax sense using convex optimization techniques. Full-wave electromagnetic simulations using real antenna models confirm that the proposed wideband transmit beamformer can achieve multibeam transmission in the 1.3–2.8 GHz frequency range, with more than 70% fractional bandwidth. Furthermore, the adoption of the wideband transmit multibeam beamformer leads to a significant reduction in digital arithmetic (computational) complexity compared with previously reported wideband transmit beamformers of similar transfer function type, without deteriorating beam directionality and causing increases in the side-lobe level. The proposed sparse 2D FIR multibeam beamformer architecture is well-suited for both sub-6 GHz (legacy) band transmit beamforming, frequency range three (FR3) beamforming up to 28 GHz, and mmWave operation for emerging 5G/6G applications.
Funder
National Science Foundation (NSF), USA Senate Research Committee, University of Mortuwa
Reference55 articles.
1. Marzetta, T.L., Larsson, E.G., Yang, H., and Ngo, H.Q. (2016). Fundamentals of Massive MIMO, Cambridge University Press. 2. Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond;Rappaport;IEEE Access,2019 3. Björnson, E., Chae, C.B., Heath, R.W., Marzetta, T.L., Mezghani, A., Sanguinetti, L., Rusek, F., Castellanos, M.R., Jun, D., and Demir, Ö.T. (2024). Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing. arXiv. 4. Liu, Y., Ouyang, C., Ding, Z., and Schober, R. (2024). The Road to Next-Generation Multiple Access: A 50-Year Tutorial Review. arXiv. 5. Haykin, S. (1985). Array Signal Processing, Prentice-Hall.
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