Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23219
Title: W Band Imaging System Using Linear Sparse Periodic Antenna Array and Compressive Sensing for Personnel Screening
Authors: Hu, S
Shu, C
Alfadhl, Y
Chen, X
Keywords: Sparse periodic antenna array (SPA);holographic/synthetic aperture radar (SAR) imaging;compressive sensing (CS)
Issue Date: 28-Nov-2019
Publisher: Institute of Electrical and Electronics Engineers
Citation: S. Hu, C. Shu, Y. Alfadhl and X. Chen, "W Band Imaging System Using Linear Sparse Periodic Antenna Array and Compressive Sensing for Personnel Screening," in IEEE Access, vol. 7, pp. 173603-173611, 2019, doi: 10.1109/ACCESS.2019.2956630.
Abstract: This paper presents our study on a W band imaging system consisting of a linear sparse periodic antenna array (SPA) with only 10 transmitting (Tx) and 10 receiving (Rx) elements in simulation and experiment for the purpose of personnel screening. We have devised a simplified and low cost experimental set-up using only 1 Tx and 1 Rx channels located on two scanning tracks separated by a distance to verify the proposed multi-static array imaging scheme. The simulation has taken account of the effects of track separation and measured antenna patterns. The simulation and experiment correlate quite well, indicating a resolution of about 7 mm at 1.3 m distance. Furthermore, based on the experimental data, we have investigated the compressive sensing (CS) image reconstruction as an approach for further reducing the sampling points in such a multi-static array imaging system. It is shown that using a discrete SPA-CS imaging algorithm, the images can be successfully reconstructed with the data as few as 30% of that used in the traditional holographic/synthetic aperture radar (SAR) imaging algorithm. Therefore, the CS image reconstruction is proved to be feasible for building a low-cost and fast millimeter wave imaging system.
URI: http://bura.brunel.ac.uk/handle/2438/23219
DOI: http://dx.doi.org/10.1109/ACCESS.2019.2956630
ISSN: 2169-3536
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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