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Creators/Authors contains: "Ravan, M"

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  1. ; ; (, IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting July 23–28, 2023 • Portland, Oregon, USA)
    Microwave imaging has been a popular high resolution, non-invasive, and non-contact nondestructive testing (NDT) method for detecting defects and objects in non-metallic media with applications toward testing dielectric slabs, printed circuit board testing, biomedical diagnosis, etc. In this paper, we employ an array of microwave sensors designed based on the complementary split ring resonators (CSRR) along with nearfield holographic microwave imaging (NH-MWI) to assess the hidden features in the dielectric media. In this array, each element resonates at a different frequency in the range of 1 GHz to 10 GHz. Performance of the proposed method is demonstrated via simulation and experimental results. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting July 23–28, 2023 • Portland, Oregon, USA)
    In current near-field holographic imaging, a circular region is scanned using an array of transmitting and receiving antennas over a narrow frequency band. This makes the data acquisition system slow, complex, bulky, and costly. Reducing the number of receiver antennas and using a narrower frequency band can significantly reduce the cost and complexity of the data acquisition system. To do so, we propose a method that uses prior knowledge about the object position, obtained by applying a neural network algorithm, called convolutional neural network (CNN), to the scattered field responses. This prior knowledge is then used to add a new regularization term to the cost function that is minimized in near-field holography. 
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    Accepted Manuscript Full Text Available