A Doppler De-aliasing Technique for FMCW-TDM MIMO Automotive Radar

Journal Article (2025)
Author(s)

S. Yuan (TU Delft - Microwave Sensing, Signals & Systems)

T.K. Dash (TU Delft - Microwave Sensing, Signals & Systems)

I. Roldan Montero (TU Delft - Microwave Sensing, Signals & Systems)

F. Fioranelli (TU Delft - Microwave Sensing, Signals & Systems)

Alexander Yarovoy (TU Delft - Microwave Sensing, Signals & Systems)

Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1109/TIM.2025.3623765
More Info
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Publication Year
2025
Language
English
Microwave Sensing, Signals & Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Volume number
74
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Abstract

The problem of diminished unambiguous target velocity interval induced by the time-division-multiplex mode (TDM) of multiple-input-multiple-output (MIMO) frequency-modulated continuous-wave (FMCW) automotive radar has been explored. A novel MIMO antenna array activation mode and a parametric approach for Doppler de-aliasing based on a two-step cross-entropy optimization are proposed. The TDM Doppler signal model has been derived, and a novel two-step cost function is proposed to achieve robust and efficient estimation. In contrast to the state-of-the-art method, the method proposed does not need multiple overlapped antennas and can resolve multiple targets in the same range and Doppler bins. The proposed method has been verified with numerical simulations with different parameter settings, as well as experimental data from a radar target simulator.

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