Performance Evaluation and Analysis of Thresholding-Based Interference Mitigation for Automotive Radar Systems

Jun Li, Jihwan Youn, Ryan Wu, Jeroen Overdevest, Shunqiao Sun

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Samenvatting

In automotive radar, time-domain thresholding (TD-TH) and time-frequency domain thresholding (TFD-TH) are crucial techniques underpinning numerous interference mitigation methods. Despite their importance, comprehensive evaluations of these methods in dense traffic scenarios with different types of interference are limited. In this study, we segment automotive radar interference into three distinct categories. Utilizing the in-house traffic scenario and automotive radar simulator, we evaluate interference mitigation methods across multiple metrics: probability of detection, signal-to-interference-plus-noise ratio, and phase error involving hundreds of targets and dozens of interfering radars. The numerical results highlight that TFD-TH is more effective than TD-TH, particularly as the density and signal correlation of interfering radars escalate.

Originele taal-2Engels
Titel2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's204-208
Aantal pagina's5
ISBN van elektronische versie979-8-3503-7451-3
DOI's
StatusGepubliceerd - 15 aug. 2024
Extern gepubliceerdJa
Evenement49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Seoul, Zuid-Korea
Duur: 14 apr. 202419 apr. 2024

Congres

Congres49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024
Land/RegioZuid-Korea
StadSeoul
Periode14/04/2419/04/24

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