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3 June 2022 A multi-resolution analysis-based approach to accelerate data acquisition for near-field MIMO millimeter-wave imaging
Amir Masoud Molaei, Shaoqing Hu, Vincent Fusco, Okan Yurduseven
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Proceedings Volume 12111, Passive and Active Millimeter-Wave Imaging XXV; 121110J (2022) https://doi.org/10.1117/12.2622826
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States
Abstract
An approach to designing multiple waveforms in a multiple-input multiple-output (MIMO) system is presented so that the full capacity of the transmitting and receiving antennas can be utilized at the same time. On the transmitter-side, the antenna elements are classified into different groups according to their specific signal. On the receive-side, we use a multi-resolution analysis to retrieve the signals of each channel. Due to the superior characteristics of the FMCW signal, especially in terms of sampling, in the proposed approach, an FMCW radar is considered. To adapt the introduced system to multistatic near-field imaging, we use more accurate models than the effective phase center principle. This contributes to the successful reconstruction of the scene image by efficient Fourier-based image reconstruction methods. The performance of the proposed approach is confirmed by numerical simulations.
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Amir Masoud Molaei, Shaoqing Hu, Vincent Fusco, and Okan Yurduseven "A multi-resolution analysis-based approach to accelerate data acquisition for near-field MIMO millimeter-wave imaging", Proc. SPIE 12111, Passive and Active Millimeter-Wave Imaging XXV, 121110J (3 June 2022); https://doi.org/10.1117/12.2622826
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KEYWORDS
Radar
Signal processing
Near field
Data acquisition
Imaging systems
Millimeter wave imaging
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