Frequency-diverse metasurface antenna for computational through-wall imaging

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)
51 Downloads (Pure)


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 languageEnglish
Title of host publicationProceedings of the 17th European Conference on Antennas and Propagation (EuCAP 2023)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
Publication statusPublished - 31 May 2023
Event17th European Conference on Antennas and Propagation 2023 - Florence, Italy
Duration: 26 Mar 202331 Mar 2023

Publication series

NameEuropean Conference on Antennas and Propagation: Proceedings


Conference17th European Conference on Antennas and Propagation 2023
Abbreviated titleEuCAP 2023
Internet address


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