Design and analysis of Maxwell fisheye lens based beamformer

Author:

Abbasi Muhammad Ali Babar,Ansari Rafay I.,Machado Gabriel G.,Fusco Vincent F.

Abstract

AbstractAntenna arrays and multi-antenna systems are essential in beyond 5G wireless networks for providing wireless connectivity, especially in the context of Internet-of-Everything. To facilitate this requirement, beamforming technology is emerging as a key enabling solution for adaptive on-demand wireless coverage. Despite digital beamforming being the primary choice for adaptive wireless coverage, a set of applications rely on pure analogue beamforming approaches, e.g., in point-to-multi point and physical-layer secure communication links. In this work, we present a novel scalable analogue beamforming hardware architecture that is capable of adaptive 2.5-dimensional beam steering and beam shaping to fulfil the coverage requirements. Beamformer hardware comprises of a finite size Maxwell fisheye lens used as a scalable feed network solution for a semi-circular array of monopole antennas. This unique hardware architecture enables a flexibility of using 2 to 8 antenna elements. Beamformer development stages are presented while experimental beam steering and beam shaping results show good agreement with the estimated performance.

Funder

Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inverse design of optical lenses enabled by generative flow-based invertible neural networks;Scientific Reports;2023-09-29

2. Radiation efficiency estimation of lossy geodesic lens antennas based on a ray-tracing technique;2023 17th European Conference on Antennas and Propagation (EuCAP);2023-03-26

3. Geodesic Half-Maxwell Fish-Eye-Lens Antenna;IEEE Transactions on Antennas and Propagation;2023-03

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