Preprint Communication Version 1 Preserved in Portico This version is not peer-reviewed

Designing Advanced Multistatic Imaging Systems with Optimal 2D Sparse Arrays

Lorena Perez-Eijo
* ORCID logo ,
Marcos Arias
ORCID logo ,
Borja González-Valdés
,
Yolanda Rodriguez-Vaqueiro
,
Oscar Rubiños-López
ORCID logo ,
Antonio Pino
ORCID logo ,
Ignacio Sardinero-Meirás
ORCID logo ,
Jesús Grajal
Version 1 : Received: 28 September 2023 / Approved: 28 September 2023 / Online: 28 September 2023 (11:46:55 CEST)

A peer-reviewed article of this Preprint also exists.

Perez-Eijo, L.; Arias, M.; Gonzalez-Valdes, B.; Rodriguez-Vaqueiro, Y.; Rubiños, O.; Pino, A.; Sardinero-Meirás, I.; Grajal, J. Designing Advanced Multistatic Imaging Systems with Optimal 2D Sparse Arrays. Appl. Sci. 2023, 13, 12138. Perez-Eijo, L.; Arias, M.; Gonzalez-Valdes, B.; Rodriguez-Vaqueiro, Y.; Rubiños, O.; Pino, A.; Sardinero-Meirás, I.; Grajal, J. Designing Advanced Multistatic Imaging Systems with Optimal 2D Sparse Arrays. Appl. Sci. 2023, 13, 12138.

Abstract

This study introduces an innovative optimization method to identify the optimal configuration of a sparse symmetric 2D array for applications in security, particularly multistatic imaging. Utilizing Genetic Algorithms (GA) in a sophisticated optimization process, the research focuses on achieving the most favorable antenna distribution while mitigating the common issue of secondary lobes in sparse arrays. The main objective is to determine the ideal configuration from specific design parameters, including hardware specifications such as number of radiating elements, minimum spacing, operating frequency range, and image separation distance. The study employs a cost function based on the the point spread function (PSF), the system response to a point source, with the goal of minimizing the secondary lobe levels and maximizing their separation from the main lobe. Advanced simulation algorithms based on Physical Optics (PO) are used to validate the presented methodology and results.

Keywords

Submillimeter wavelength imaging; multistatic imaging; backpropagation imaging; genetic algorithm (GA).

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.