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Norm-1 regularized optimization algorithms are commonly used for Compressive Sensing applications. In this paper, an optimization algorithm based on the Alternating Direction Method of Multipliers (ADMM) together with the Elastic Net regularization is presented. This type of regularization is a linear combination of the norm-1 and norm-2 regularizations,allowing a solution between the sparsest and the minimum energy solutions, but still enforcing some sparsivity. The combination of these two regularizations and the distributive capabilities of the ADMM algorithm enables a fast sparse signal recovering with minimum error.more » « less
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This paper presents a norm-1 regularized algorithm, based on the Alternating Direction Method of Multipliers(ADMM), in which the sensing matrix is divided by columns. This technique is based on sectioning the imaging domain into different regions and optimizing them in distributed computational nodes.The information shared among nodes is highly reduced compared to the consensus-based ADMM, when dividing the matrix by rows. The combination of the sectioning-based ADMM with the imaging capabilities of the recently proposed Compressive Reflector Antenna allows a distributed, real-time imaging with fast node communication.more » « less
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This paper presents our preliminary results fora three-dimensional (3D) imaging of an on-the-move target using a MIMO millimeter-wave (mm-wave) radar, which uses 9 transmitters and 12 receivers. The operating frequency of the mm-wave radar is from 70 GHz to 77 GHz. Experimental results show that the images can be created as the target under detection moves in front of the radar system, which is combined with 3D video to show the continuous movement of the target. This preliminary work paves the way towards a mm-wave imaging system that can be used at checkpoints; thus enabling on-the-move detection of potential threats, enhancing passenger’s overall experience, and achieving a high scanning throughput.more » « less
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This paper presents the design and fabrication of a Compressive Reflector Antenna (CRA) for high-sensing-capacity millimeter-wave imaging applications. The CRA is fabricated using additive manufacturing or 3D printing and metalized by applying silver conductive coating spray on its surface. The near-fields of the CRA are measured when it is fed by a conical horn antenna, a compressive horn antenna, and a perturbed cavity.The singular value distribution and sensing capacity of the CRA fed by the aforementioned antennas are calculated and compared.more » « less
