Citation
Abstract
Antenna array geometry optimization is a design problem in which the physical arrangement of antennas must be defined to meet specified electromagnetic performance objectives. This report describes the application of the Nebulous evolutionary software platform to antenna array geometry optimization. Candidate array designs are encoded using real-valued geometric parameters, simulated in XFdtd to determine their radiation patterns, and evaluated by applying selected fitness functions to those simulated patterns. Two optimization studies are presented for arrays evaluated at a single frequency of 428MHz. First, a Euclidean distance-based fitness function is used to evolve nine-element dipole arrays toward a prescribed complex radiation pattern. Second, a directional gain fitness function is used to evolve an array composed of nine Yagi-Uda antennas to maximize gain in a target direction while reducing gain in off-target directions. These studies extend previous evolutionary antenna-design work from individual antenna geometries to array layouts and provide a basis for future work in which array designs are optimized directly against mission-relevant science performance metrics.
Keywords
Details
- Volume
- 42-246
- Published
- August 15, 2026
- Pages
- 1–27
- File Size
- 915.3 KB