Automotive radar interference suppression using deep learning

Development of a deep learning approach for automotive radar interference suppression

ANNONSINFORMATION

Sista datum för anmÀlning: 2021-02-28

Företagsnamn: BTH

Mail till kontaktperson: muhammad.rameez@bth.se

LÀnk till företag: http://www.bth.se

UtbildningsnivÄ: Magister/Master

UtbildningsomrÄde: Civilingenjörsutbildningar Datavetenskap och mjukvaruutveckling Telekommunikation

Automotive radars are increasingly being utilized in a wide range of applications, e.g., automated driving systems in vehicles and high performance surveillance drone. With a rise in the number of radars in civil applications, mutual interference between these radars is becoming a growing issue. The focus of this project is to develop a deep learning-based approach to suppress the distortion due to interference in the received radar signal.

Write an email to muhammad.rameez@bth.se to get more details about the topic.

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