Beamforming with hybrid reconfigurable parasitic antenna arrays
Nitish Vikas Deshpande, Miguel Rodrigo Castellanos, Saeed R., Khosravirad, Jinfeng Du, Harish Viswanathan, Robert W. Heath Jr

TL;DR
This paper introduces a circuit-theoretic model for hybrid reconfigurable parasitic antenna arrays, addressing physical realizability and mutual coupling challenges, and proposes a closed-form solution for beamforming weights that enhances energy efficiency.
Contribution
It develops a comprehensive model and optimization method for reconfigurable parasitic arrays, overcoming non-linearity issues and enabling practical, energy-efficient beamforming.
Findings
The model is validated through electromagnetic simulations.
The closed-form solution simplifies parasitic reactance tuning.
Hybrid arrays outperform conventional architectures in energy efficiency.
Abstract
A parasitic reconfigurable antenna array is a low-power approach for beamforming using passive tunable elements. Prior work on reconfigurable antennas in communication theory is based on ideal radiation pattern abstractions. It does not address the problem of physical realizability. Beamforming with parasitic elements is inherently difficult because mutual coupling creates non-linearity in the beamforming gain objective. We develop a multi-port circuit-theoretic model of the hybrid array with parasitic elements and antennas with active RF chain validated through electromagnetic simulations with a dipole array. We then derive the beamforming weight of the parasitic element using the theoretical beam pattern expression for the case of a single active antenna and multiple parasitic elements. We show that the parasitic beamforming is challenging because the weights are subject to coupled…
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Taxonomy
TopicsAntenna Design and Analysis · Antenna Design and Optimization · Advanced MIMO Systems Optimization
