Compact Meandered Dipole Array Presenting Super-Realized Gain

TL;DR

This study designs a compact two-element meandered dipole array optimized via genetic algorithms to achieve super-realized gain, demonstrating that phase-only optimization can nearly match full optimization performance.

Contribution

It introduces a novel optimization approach for dipole arrays, showing phase-only optimization as an effective method for high gain with simpler implementation.

Findings

Optimized array achieved significant gain improvement.

Phase-only optimization nearly matches full optimization results.

Genetic Algorithm effectively optimized array parameters.

Abstract

This paper presents a comprehensive study of a compact two-element meandered dipole array aimed at achieving super-realized gain. An optimization was performed using a Genetic Algorithm (GA) implemented in MATLAB, targeting the maximization of the realized gain in the end-fire direction. Three primary excitation schemes were evaluated: the conventional optimization to achieve superdirectivity (signal magnitude and phase angle), phase-only optimization, and uniform excitation (characterized by equal amplitude and no phase shift). The results show that by carefully optimizing both the signal magnitudes and phase angles, the array could achieve a substantial improvement in realized gain. Phase-only optimization provided a competitive realized gain with only minor reductions compared to conventional optimization, suggesting that optimizing the signal phase alone can be an effective strategy in practical implementations.