Model-based Optimization of Compressive Antennas for High-Sensing-Capacity Applications

TL;DR

This paper introduces a model-based method for designing compressive antennas that maximizes sensing capacity, demonstrated through 2D simulations showing improved imaging performance.

Contribution

It proposes a novel optimization approach for compressive antenna design that enhances sensing capacity by adjusting scatterer properties under given constraints.

Findings

Enhanced imaging capabilities in 2D simulations

Effective maximization of sensing capacity

New design method outperforms traditional approaches

Abstract

This paper presents a novel, model-based compressive antenna design method for high sensing capacity imaging applications. Given a set of design constraints, the method maximizes the sensing capacity of the compressive antenna by varying the constitutive properties of scatterers distributed along the antenna. Preliminary 2D design results demonstrate the new method's ability to produce antenna configurations with enhanced imaging capabilities.