Analysis of Dynamic Metasurface Antennas Under Matching Network Constraints

Dynamic metasurface antennas (DMAs) are a type of waveguide-fed reconfigurable slot antenna with integrated tunable components that enable low-power beamforming. Despite recent advances made to optimize signal processing and beamforming with DMAs, there is minimal work investigating the improvement of the DMA matching efficiency. In this paper, we explore impedance matching for DMAs and extend previous impedance models for static slot antennas to the reconfigurable DMA. We also provide an optimization algorithm to increase the DMA matching efficiency without any external matching network or additional components. The simulation results show that the matching optimization procedure significantly improves the matching efficiency of DMAs with high coupling.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.10942910
Citations
4
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
5.20

Funders

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article

Analysis of Dynamic Metasurface Antennas Under Matching Network Constraints

Miguel R. Castellanos, Nitish Vikas Deshpande, Robert W. Heath, Joseph Carlson
4 citations
Antenna Design and Analysis
5.20
article

Analysis of Dynamic Metasurface Antennas Under Matching Network Constraints

Miguel R. Castellanos, Nitish Vikas Deshpande, Robert W. Heath, Joseph Carlson
article en
4 citations

Abstract

Dynamic metasurface antennas (DMAs) are a type of waveguide-fed reconfigurable slot antenna with integrated tunable components that enable low-power beamforming. Despite recent advances made to optimize signal processing and beamforming with DMAs, there is minimal work investigating the improvement of the DMA matching efficiency. In this paper, we explore impedance matching for DMAs and extend previous impedance models for static slot antennas to the reconfigurable DMA. We also provide an optimization algorithm to increase the DMA matching efficiency without any external matching network or additional components. The simulation results show that the matching optimization procedure significantly improves the matching efficiency of DMAs with high coupling.

University of California San Diego (US), University of Tennessee at Knoxville (US)
National Science Foundation, Army Research Office
Climate action
Openalex Percentile: Top 5%
Antenna Design and Analysis
5.20
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