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Conventional multistatic radar systems using microwave and millimeter-wave(mm-wave) frequencies seek to reconstruct the target in the imaging domain,employing many transmitting and receiving antenna elements. These systems aresuboptimal, in that they do not take into consideration the large mutualinformation existing between the measurements. This work reports a new mm-waveradar system for high sensing capacity applications. The system is composed ofa Compressive Reflector Antenna (CRA), whose surface is specially tailored bydigitized Metamaterial Absorbers (MMAs). The MMA elements are designed to havea highly frequency-dispersive response in the operating band of the radar. Thisenables the CRA to create highly uncorrelated spatial and spectral codes in theimaging region. A semi-analytic method based on Drude-Lorentz model is used toapproximate the reflection response of the MMAs. The performance of thedeveloped radar system is evaluated in active mm-wave sensing systems byimaging PEC scatterers and an extended human-size model in the near-field ofthe radar. A computational method based on physical optics is established forsolving the numerical examples. For reconstructing the image using compressivesensing techniques, a norm-1 regularized iterative algorithm based on theAlternating Direction Method of Multipliers (ADMM) and a Nesterov-basedalgorithm (NESTA) were applied.

Digitized metamaterial absorber-based compressive reflector antenna for high sensing capacity imaging