Generalized Optimization of High Capacity Compressive Imaging Systems

TL;DR

This paper introduces a unified design method for compressive reflector antennas that improves their sensing capacity and efficiency, enhancing electromagnetic imaging and MIMO communication performance.

Contribution

The paper presents a novel unified CRA design approach that optimizes sensing capacity and efficiency for better compressive imaging and MIMO applications.

Findings

Enhanced CS reconstruction performance with the new design

Effective integration of dielectric scatterers improves sensing capacity

Design method applicable to both imaging and communication systems

Abstract

One of the greatest challenges in applying compressive sensing (CS) signal processing techniques to electromagnetic imaging applications is designing a sensing matrix that has good reconstruction capabilities. Compressive reflector antennas (CRA) are a class of antennas that have been shown to provide enhanced image reconstruction performance over traditional reflector antennas (TRA) when CS techniques are employed. In this paper, we present a unified CRA design method, which considers both the sensing capacity and efficiency of the antenna, and can be used for both compressive imaging and multiple-input multiple-output (MIMO) communication applications. The unified design method is assessed for a CRA configuration in which dielectric scatterers are added to the surface of a TRA. The design results demonstrate the ability of the unified design method to enhance the CS reconstruction capabilities of the CRA.