Research indexJournal article
Sparse 2D array design optimization for imaging systems using genetic algorithm
Pérez-Eijo, Arias, González-Valdés and 3 others
26 Mar 2023
NobleIDark:/48914/w1/20260525/85FD5AC7DOI10.23919/eucap57121.2023.10132966
Sparse 2D array design optimization for imaging systems using genetic algorithm
Pérez-Eijo, Arias, González-Valdés and 3 others · 2023 · Subscription
NobleIDark:/48914/w1/20260525/85FD5AC7DOI10.23919/eucap57121.2023.10132966
The full text is at the publisher
You can read the abstract here, or open it at the publisher.
Abstract
This work shows a method to find the optimal configuration of a sparse symmetric 2D array for multi-static imaging in security systems once a set of configuration parameters (such as number of radiating elements, operating frequency range, standoff distance to the imaging target, etc…) have been selected. Advanced electromagnetic simulation algorithms based on Physical Optics and Genetic Algorithm as an optimization tool are used. The simulation results to validate the performance of the proposed methodology and architecture are provided.