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Discrete-dipole approximation model for control and optimization of a holographic metamaterial antenna. | LitMetric

AI Article Synopsis

  • Metamaterials, which have a negative refractive index, enable the development of advanced devices that can manipulate electromagnetic energy, particularly in satellite communications.
  • The paper introduces a discrete-dipole approximation (DDA) model for waveguide-fed planar metamaterial antennas, offering a more efficient and accurate way to predict their radiation performance compared to traditional models.
  • The DDA model's capabilities can enhance control and optimization, paving the way for improved beam steering in reconfigurable metamaterial antennas, which are lighter, thinner, and require less power than conventional options.

Article Abstract

Since the discovery of materials with negative refractive index, widely known as metamaterials, it has been possible to develop new devices that utilize a metamaterial's ability to control the path of electromagnetic energy. Of particular promise, and already under intensive development for commercial applications, are metamaterial antennas for satellite communications. Using reconfigurable metamaterials in conjunction with the principles of holography, these new antennas can electronically steer the high gain antenna beam required for broadband communications while not having any moving parts, being thinner, lighter weight, and less expensive, and requiring less power to operate than conventional alternatives. Yet, the promise of these devices will not be realized without efficient and effective control and optimization. Toward this end, in this paper a discrete-dipole approximation (DDA) model of a waveguide-fed planar metamaterial antenna is derived. The proposed model is demonstrated to accurately predict the radiation of a two-dimensional metamaterial at a much reduced computational cost to full-wave simulation and at much greater fidelity than simpler models typically used in the field. The predictive capabilities of the derived DDA model opens possibilities for model-based control design for optimal beam steering.

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Source
http://dx.doi.org/10.1364/AO.53.005791DOI Listing

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