English

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

Optimization and Control 2015-10-06 v2 Information Theory math.IT

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.

Keywords

Cite

@article{arxiv.1507.05684,
  title  = {Model-based Optimization of Compressive Antennas for High-Sensing-Capacity Applications},
  author = {Richard Obermeier and Jose Angel Martinez-Lorenzo},
  journal= {arXiv preprint arXiv:1507.05684},
  year   = {2015}
}
R2 v1 2026-06-22T10:15:23.898Z