Sidelobe Canceling for Optimization of Reconfigurable Holographic Metamaterial Antenna

TL;DR

This paper presents an optimization algorithm for real-time beam-steering of reconfigurable holographic metamaterial antennas, effectively directing the main beam and suppressing sidelobes in dynamic environments.

Contribution

It introduces a novel adaptive control method specifically designed for metamaterial antennas, enhancing beam accuracy and sidelobe suppression.

Findings

Algorithm performs well on computational models

Experimental validation confirms effectiveness

Significant sidelobe reduction achieved

Abstract

Accurate and efficient methods for beam-steering of holographic metamaterial antennas is of critical importance for enabling consumer usage of satellite data capacities. We develop an optimization algorithm capable of performing adaptive, real-time control of antenna patterns while operating in dynamic environments. Our method provides a first analysis of the antenna pattern optimization problem in the context of metamaterials and for the purpose of directing the central beam and significantly suppressing sidelobe levels. The efficacy of the algorithm is demonstrated both on a computational model of the antenna and experimentally. Due to their exceptional portability, low-power consumption and lack of moving parts, metamaterial antennas are an attractive and viable technology when combined with proven software engineering strategies to optimize performance.