Active imaging using a metamaterial-based compressive reflector antenna

This paper presents a new high-sensing-capacity system for active imaging. The proposed system consists of a Compressive Reflector Antenna (CRA) coated with Metamaterial Absorbers (MMA). The Compressive Reflector Antenna creates a spatial codification in the imaging domain, while the MMA creates a frequency codification in the spectral domain. To solve the inverse problem, we built the sensing matrix using a high frequency method based on Physical Optics; and an iterative Compressive Sensing algorithm (ADMM) is used to perform the inversion. Numerical simulations consisting on PEC targets in the reconstruction domain are carried out. The performance of the proposed system is compared to that of the Compressive Reflector Antenna without metamatrial absorbers. Preliminary results show that a better imaging performance and higher channel capacity is achieved for the metamaterial-based CRA than the CRA configuration.

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