Reimagining the FMCW mmWave radar: From interference-based Sensing Enhancement to Data-Driven Large Language Models

2 Jul
2025

Bei Ouyang, Estudiante de doctorado en IMDEA Networks Institute, Madrid, España

In-house Presentation

I will share new developments from my work on Millimeter wave (mmWave) Frequency-Modulated Continuous Wave (FMCW) radar sensing. mmWave FMCW radar uses a continuous radio signal whose frequency increases linearly over time. When this signal reflects off objects, the radar receives the echo and compares it to the original transmitted signal to determine an object’s distance, velocity and direction. To extend the fundamental capabilities of FMCW radar, my work introduces two projects: interAngle, which transforms radar interference into a beyond resolution sensing asset, and EgoLife-Wireless, which enables robust, multimodal perception in complex environments.

About Bei Ouyang

Bei Ouyang is a Ph.D student with the Wireless Networking Group at IMDEA Networks Institute.She received her Master’s degree in Electrical and Computer Engineering Rice University, Texas, USA in 2021 and a Bachelor degree in Electrical and Information Engineering from Beijing Institute of Technology in 2020. She had been Research Intern with Wireless and Networking research group in Microsoft Research Asia, Rice University and Western University in 2022, 2021 and 2019 respectively. Her research interests lie broadly in Wireless Systems with keen interest in Sensing at mmWave and Metasurface designing.

Este evento se impartirá en inglés

  • Localización: MR-A1 [Ramón] & MR-A2 [Cajal], IMDEA Networks Institute, Avda. del Mar Mediterráneo 22, 28918 Leganés – Madrid
  • Organización: IMDEA Networks Institute; NETCOM Research Group (Telematics Engineering Department, UC3M)
  • Hora: 13:00
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