A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar

Ziang Zhang; Guangzhi Chen; Youlong Weng; Kuo Li; Kaiqi Liu

doi:10.23919/ACES-China60289.2023.10250064

A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar

Ziang Zhang, Guangzhi Chen, Youlong Weng, Kuo Li, Kaiqi Liu

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The millimeter-wave radar has become an important sensor for environmental awareness in the field of autonomous driving. With the increasing number of radar-equipped vehicles in dense traffic environments, the problem of mutual interference is inevitable. In this paper, we propose an automotive millimeter-wave radar interference mitigation method based on bidirectional gate recurrent unit (BiGRU) with residual connection. The proposed method could eliminate the interference in the time domain and improve the signal-to-noise ratio (SNR) of the signal. Compared with wavelet de noising and normal RNNs, our method shows better performance, which demonstrate the potential of the residual-BiGRU-based model in interference mitigation.

Original language	English
Title of host publication	2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781733509657
DOIs	https://doi.org/10.23919/ACES-China60289.2023.10250064
Publication status	Published - 2023
Event	2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 - Hangzhou, China Duration: 15 Aug 2023 → 18 Aug 2023

Publication series

Name	2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

Conference

Conference	2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
Country/Territory	China
City	Hangzhou
Period	15/08/23 → 18/08/23

Keywords

Bidirectional gate recurrent unit
interference mitigation
millimeter-wave radar
residual connection

Access to Document

10.23919/ACES-China60289.2023.10250064

Cite this

Zhang, Z., Chen, G., Weng, Y., Li, K., & Liu, K. (2023). A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar. In 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 (2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACES-China60289.2023.10250064

Zhang, Ziang ; Chen, Guangzhi ; Weng, Youlong et al. / A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar. 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023).

@inproceedings{25db0661195e4dc6b9201b5a59a72a01,

title = "A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar",

abstract = "The millimeter-wave radar has become an important sensor for environmental awareness in the field of autonomous driving. With the increasing number of radar-equipped vehicles in dense traffic environments, the problem of mutual interference is inevitable. In this paper, we propose an automotive millimeter-wave radar interference mitigation method based on bidirectional gate recurrent unit (BiGRU) with residual connection. The proposed method could eliminate the interference in the time domain and improve the signal-to-noise ratio (SNR) of the signal. Compared with wavelet de noising and normal RNNs, our method shows better performance, which demonstrate the potential of the residual-BiGRU-based model in interference mitigation.",

keywords = "Bidirectional gate recurrent unit, interference mitigation, millimeter-wave radar, residual connection",

author = "Ziang Zhang and Guangzhi Chen and Youlong Weng and Kuo Li and Kaiqi Liu",

note = "Publisher Copyright: {\textcopyright} 2023 Applied Computational Electromagnetics Society (ACES).; 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023 ; Conference date: 15-08-2023 Through 18-08-2023",

year = "2023",

doi = "10.23919/ACES-China60289.2023.10250064",

language = "English",

series = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023",

address = "United States",

}

Zhang, Z, Chen, G, Weng, Y, Li, K & Liu, K 2023, A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar. in 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023. 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023, Hangzhou, China, 15/08/23. https://doi.org/10.23919/ACES-China60289.2023.10250064

A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar. / Zhang, Ziang; Chen, Guangzhi; Weng, Youlong et al.
2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar

AU - Zhang, Ziang

AU - Chen, Guangzhi

AU - Weng, Youlong

AU - Li, Kuo

AU - Liu, Kaiqi

PY - 2023

Y1 - 2023

N2 - The millimeter-wave radar has become an important sensor for environmental awareness in the field of autonomous driving. With the increasing number of radar-equipped vehicles in dense traffic environments, the problem of mutual interference is inevitable. In this paper, we propose an automotive millimeter-wave radar interference mitigation method based on bidirectional gate recurrent unit (BiGRU) with residual connection. The proposed method could eliminate the interference in the time domain and improve the signal-to-noise ratio (SNR) of the signal. Compared with wavelet de noising and normal RNNs, our method shows better performance, which demonstrate the potential of the residual-BiGRU-based model in interference mitigation.

AB - The millimeter-wave radar has become an important sensor for environmental awareness in the field of autonomous driving. With the increasing number of radar-equipped vehicles in dense traffic environments, the problem of mutual interference is inevitable. In this paper, we propose an automotive millimeter-wave radar interference mitigation method based on bidirectional gate recurrent unit (BiGRU) with residual connection. The proposed method could eliminate the interference in the time domain and improve the signal-to-noise ratio (SNR) of the signal. Compared with wavelet de noising and normal RNNs, our method shows better performance, which demonstrate the potential of the residual-BiGRU-based model in interference mitigation.

KW - Bidirectional gate recurrent unit

KW - interference mitigation

KW - millimeter-wave radar

KW - residual connection

UR - http://www.scopus.com/inward/record.url?scp=85174297510&partnerID=8YFLogxK

U2 - 10.23919/ACES-China60289.2023.10250064

DO - 10.23919/ACES-China60289.2023.10250064

M3 - Conference contribution

AN - SCOPUS:85174297510

T3 - 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

BT - 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

Y2 - 15 August 2023 through 18 August 2023

ER -

Zhang Z, Chen G, Weng Y, Li K, Liu K. A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar. In 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023). doi: 10.23919/ACES-China60289.2023.10250064

A BiGRU-based Interference Mitigation Method for Automotive Millimeter-Wave Radar

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