Abstract
Computational imaging has emerged as a promising paradigm to overcome some drawbacks of conventional radar systems based on raster scanning. This approach relies on using compressive antennas that radiate quasi-random spatially incoherent patterns, which in turn enables to compress the information from the imaged scene into a single channel (or a reduced number of channels). Despite the success of computational imaging for multiple free-space applications (such as personnel screening), its extension to deal with through-wall imaging scenarios has been hardly explored. This contribution presents a frequency-diverse antenna working at X-band to perform through-wall computational imaging. First, we show that the designed antenna radiates distinct patterns as a function of frequency, which is essential to achieve physical layer compression. Then, we demonstrate the capability of this antenna to detect targets hidden behind a wall, provided that a clutter removal technique is applied to mitigate the wall reflection.
Original language | English |
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Title of host publication | Proceedings of the 17th European Conference on Antennas and Propagation (EuCAP 2023) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 5 |
DOIs | |
Publication status | Published - 31 May 2023 |
Event | European Conference on Antennas and Propagation 2023 - Florence, Italy Duration: 26 Mar 2023 → 31 Mar 2023 https://www.eucap2023.org/ |
Publication series
Name | European Conference on Antennas and Propagation: Proceedings |
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Conference
Conference | European Conference on Antennas and Propagation 2023 |
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Abbreviated title | EuCAP 2023 |
Country/Territory | Italy |
City | Florence |
Period | 26/03/2023 → 31/03/2023 |
Internet address |