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Feng, Ruoyu (author), Uysal, Faruk (author), Yarovoy, Alexander (author)
A novel target azimuth estimation algorithm called ”MIMO-Monopulse” is proposed by combining monopulse approach with multiple-input multiple-output (MIMO) radar. Chebyshev and Zolotarev weighting are applied to synthesis sum and difference pattern of MIMO-monopulse. A new visualization method for monopulse ratio is discussed. Finally, the...
conference paper 2018
document
Suvarna, Anusha Ravish (author), Koppelaar, Arie (author), Jansen, Feike (author), Wang, J. (author), Yarovoy, Alexander (author)
High angular resolution is in high demand in automotive radar. To achieve a high azimuth resolution a large aperture antenna array is required. Although MIMO technique can be used to form larger virtual apertures, a large number of transmitter-receiver channels are needed, which is still technologically challenging and costly. To circumvent this...
conference paper 2022
document
Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Poor angular resolution is one of the main disadvantages of automotive radars, and the reason why lidar technology is widely used in the automotive industry. For a fixed frequency, the angular resolution of a conventional Multiple-Input Multiple-Output (MIMO) radar is limited by the number of physical antennas, and therefore improve the...
conference paper 2022
document
Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Data from a high angular resolution radar, i.e., a radar with a large antenna aperture, is used to train a deep neural network...
journal article 2023
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