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Creators/Authors contains: "Martinez-Lorenzo, Jose"

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  1. ; (, IEEE Transactions on Microwave Theory and Techniques)
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  2. ; ; ; (, Passive and Active Millimeter-Wave Imaging XXV)
    Robertson, Duncan A.; Wikner, David A. (Ed.)
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  3. ; ; ; (, IEEE Transactions on Microwave Theory and Techniques)
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  4. ; ; ; (, IEEE Transactions on Microwave Theory and Techniques)
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  5. ; ; ; (, IEEE Transactions on Computational Imaging)
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  6. ; (, IEEE Transactions on Computational Imaging)
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  7. ; (, 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting)
    A low cost millimeter-wave (mm-wave) electronically reconfigurable Reflect Array (RA) has been presented in this paper. Aperture-Coupled Patch (ACP) elements are used to forma 40×40 element reconfigurable RA operating in the 71-74 GHz range of the mm-wave band. A feeding network, integrated with Single-Pole, Single-Throw (SPST) switches is designed to adjust the phase of the reflected field for the ON/OFF state of the switch. The performance of the reconfigurable RA is evaluated by performing beam focusing at the near-field of the array. 
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  8. ; (, 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting)
    In this paper, a new waveguide-fed Antipodal Vivaldi Antenna (AVA) for mm-wave imaging applications is presented. A waveguide-to-broadside coupled Antipodal finline transition is designed to couple the dominant mode of a WR-12 waveguide into the AVA. The transition provides a wideband and low insertion loss in the entire E-band. A dielectric lens is added in front of the AVA to increase the directivity in theendfire direction of the antenna. The performance of the designed antenna is evaluated in the E-band in terms of its return loss,gain, and radiation pattern. 
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  9. ; ; ; (, IEEE Antennas and Wireless Propagation Letters)
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  10. ; (, 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting)
    In many compressive imaging applications, it can be difficult to design sensing matrices with suitable reconstruction capabilities. In this paper, we presents a novel method, based upon capacity maximization, for designing sensing matrices with enhanced block-sparse signal reconstruction capabilities. Numerical results, which demonstrate the design method’s capabilities in a practical imaging application, are presented. 
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