Mutual Interference Mitigation for Automotive FMCW Radar With Time and Frequency Domain Decomposition

Currently, the frequency-modulated continuous-wave (FMCW) millimeter-wave (MMW) radar is a typical choice for automotive and transportation radar systems. As the number of FMCW radars explodes in the current vehicle market and the working frequency is limited in an open window of 76-81 GHz, FMCW rad...

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Bibliographic Details
Published in:IEEE transactions on microwave theory and techniques 2023-11, Vol.71 (11), p.1-17
Main Authors: Wang, Yunxuan, Huang, Yan, Wen, Cai, Zhou, Xiao, Liu, Jiang, Hong, Wei
Format: Article
Language:English
Subjects:
Automotive engineering
Automotive frequency-modulated continuous-wave (FMCW) radar
Chirp
Continuous radiation
Design optimization
Domain decomposition methods
Filtering
Frequency domain analysis
Interference
interference mitigation
Iterative methods
low-rank recovery
Millimeter waves
Radar
Radar equipment
row sparse
Spaceborne radar
Time-domain analysis
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Summary:Currently, the frequency-modulated continuous-wave (FMCW) millimeter-wave (MMW) radar is a typical choice for automotive and transportation radar systems. As the number of FMCW radars explodes in the current vehicle market and the working frequency is limited in an open window of 76-81 GHz, FMCW radars on the road easily mutually interfere with each other, especially due to their wide bandwidth. Hence, in this article, we rigorously analyze the target echo, i.e., the beat signal, especially the sparsity of the interference signal in the time domain, and the row sparsity of the useful echo signal in the frequency domain. By taking advantage of this feature, we design an interference mitigation optimization problem to extract the target echoes with a row-sparse constraint. A closed-form solution is given in each iteration with specific derivations. Finally, numerical simulations and multiple practical scenes are provided to demonstrate the effectiveness of the proposed method.
ISSN:0018-9480
1557-9670
DOI:10.1109/TMTT.2023.3275816