Fourier-based radar processing for multistatic millimetre-wave imaging with sparse apertures

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Fourier-based radar processing algorithms have attracted a lot of interest among imaging techniques mostly because they are extremely fast. Moreover, such techniques can be integrated with a Multiple-Input Multiple-Output (MIMO) effective aperture to form a cost-effective imaging system that can retrieve an estimation of the scene in real-time. The proposed technique leverages the phase center approximation and a multistatic-to-monostatic data conversion to render the back-scattered measurements compatible with fast Fourier processing. Whereas the phase center approximation is applicable for imaging in the far-field of the synthesized aperture, in the near-field, a more sophisticated aperture design should be considered to reduce the distortion in the reconstructed images. This paper presents a theoretical study for a sparse aperture design and the optimization of the aperture layout for near-field imaging. Furthermore, it proposes a GPU accelerated reconstruction algorithm able to form 3D images in a few milliseconds with low-cost hardware.

Original languageEnglish
Title of host publicationProceedings of the 16th European Conference on Antennas and Propagation, EuCAP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9788831299046
ISBN (Print)9781665416047
Publication statusPublished - 11 May 2022
Event16th European Conference on Antennas and Propagation 2022 - Madrid, Spain
Duration: 27 Mar 202201 Apr 2022

Publication series

NameEuCAP Proceedings


Conference16th European Conference on Antennas and Propagation 2022
Abbreviated titleEuCAP 2022
Internet address


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