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Title: | FFT-Based 220 GHz Sparse Imaging for Target Detection |
Authors: | Hu, S Molaei, AM Yurduseven, O |
Keywords: | fast Fourier transform (FFT);low rank matrix recovery (LRMR);MIMO;synthetic aperture imaging;THz |
Issue Date: | 16-May-2022 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | Hu, S., Molaei, A.M. and Yurduseven, O. (2022) 'FFT-Based 220 GHz Sparse Imaging for Target Detection', 2022 International Workshop on Antenna Technology (iWAT), Dublin, Ireland, 16-18 May, pp. 1-3. doi: 10.1109/iWAT54881.2022.9811069 |
Abstract: | This paper introduces two fast imaging algorithms based on Fast Fourier Transform (FFT) for a 220 GHz synthetic aperture imaging. The presented application is a target detection scenario with a multi-static multiple-input and multiple-output (MIMO) array-FFT/IFFT approach and a FFT matched filtering. Zero padding is proposed to improve the image quality when large sampling space is used. In addition, a multi-pass synthetic aperture imaging is proposed to achieve a higher image quality without increasing the system cost. An imaging resolution of 6 mm at 1.4 m is achieved together a reconstruction time of as small as 0.2 s to image a scene of 200 mm × 200 mm. The proposed sparse imaging with low rank matrix recovery (LRMR) technique has significant potential to reduce the system cost without comprising on high image quality. |
URI: | https://bura.brunel.ac.uk/handle/2438/24229 |
DOI: | https://doi.org/10.1109/iWAT54881.2022.9811069 |
ISBN: | 978-1-6654-9449-6 (ebk) 978-1-6654-9450-2 (PoD) |
Other Identifiers: | ORCiD: Shaoqing Hu https://orcid.org/0000-0001-8642-2914 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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