Orthogonal coding for millimeter-wave imaging using mimo dynamic metasurface apertures

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Abstract

The recent advent of dynamic metasurface antennas (DMAs) as a millimeter-wave computational imaging (CI) platform has mitigated the hardware limitations of traditional imaging systems in terms of acquisition time, flexibility and cost. Considering a multiple-input multiple-output (MIMO) system fully realized by DMA panels, real-time simultaneous data acquisition can occur by adopting an orthogonal coded approach which enables concurrent transmission and reception by all DMA panels. The image is then reconstructed in the frequency domain by utilizing a signal decompression step that enables the use of a range migration algorithm (RMA) for the compressed signal received by the DMA panels. In that way, the time for the signal processing layer is also significantly reduced compared to the traditional image reconstruction methods usually applied to DMA-based systems. Simulation results of resolution targets are presented to demonstrate the efficiency of the suggested technique.
Original languageEnglish
Title of host publication2024 IEEE European Conference on Antennas and Propagation (EuCAP): proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299091
ISBN (Print)9798350394436
DOIs
Publication statusPublished - 26 Apr 2024
Event18th European Conference on Antennas and Propagation 2024 - Glasgow, United Kingdom
Duration: 17 Mar 202422 Mar 2024
https://www.eucap2024.org/

Publication series

NameEuropean Conference on Antennas and Propagation (EUCAP): proceedings
ISSN (Print)2164-3342

Conference

Conference18th European Conference on Antennas and Propagation 2024
Abbreviated titleEuCAP 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period17/03/202422/03/2024
Internet address

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