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arXiv · 1803.08184

Generalized Optimization of High Capacity Compressive Imaging Systems

Richard Obermeier·Jose Angel Martinez-Lorenzo
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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.

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Richard Obermeier, Jose Angel Martinez-Lorenzo. 2018-03-22. Generalized Optimization of High Capacity Compressive Imaging Systems. https://arxiv.org/abs/1803.08184

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