Microwave Sensing, Signals and Systems
Department of Microelectronics

MSc S Yuan

PhD student
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Deep learning, Synthetic Aperture Radar (SAR), Image Processing.

Biography

Sen Yuan received his degree of Bachelor of Engineering in the area of Electronic Information Engineering at Beihang University, China in 2017. Besides he also did an internship in Tsinghua University about Navigation with Dr. Xi Chen in 2016. He continued his master study at Beihang University in the specialty of the synthetic aperture radar (SAR) with Prof. Chunsheng Li. During the graduate education, he learned and became familiar with the SAR including its satellite orbits, system design, and ground processing. For satellite orbits, he published “Maximum Nesigma0 based on the new steering strategy for GEO SAR” at international conferences (2019 IEEE International Geoscience and Remote Sensing Symposium). In terms of system design, he took the responsibility of a provincial-level project “Satellite Overall performance design on SAR system” with Dr. Ze Yu. Regarding ground processing, he wrote one article “A Novel SAR Sidelobe Suppression Method Based on CNN” in IEEE Geoscience and Remote Sensing Letters. Sen Yuan joined TU Delft in January 2021, in the MS3 (Microwave Sensing Signals & Systems) section led by Prof. Alexander Yarovoy within the Department of Microelectronics.

Novel imaging and resolution techniques for automotive radar

  1. 3-D Ego-motion Estimation using Multi-channel FMCW Radar
    Yuan, Sen; Zhu, Simin; Fioranelli, Francesco; Yarovoy, Alexander;
    IEEE Transactions on Radar Systems,
    pp. 1-1, 2023. DOI: 10.1109/TRS.2023.3299180

  2. Vehicular Motion-based DOA Estimation with a Limited Amount of Snapshots for Automotive MIMO Radar
    Yuan, Sen; Fioranelli, Francesco; Yarovoy, Alexander;
    IEEE Transactions on Aerospace and Electronic Systems,
    pp. 1-15, 2023. DOI: 10.1109/TAES.2023.3291335

  3. An adaptive threshold-based unambiguous robust Doppler beam sharpening algorithm for forward-looking MIMO Radar
    Yuan, Sen; Fioranelli, Francesco; Yarovoy, Alexander;
    In 2023 20th European Radar Conference (EuRAD),
    pp. 65-68, 2023. DOI: 10.23919/EuRAD58043.2023.10288626

  4. A Novel Approach to Unambiguous Doppler Beam sharpening for Forward-looking MIMO Radar
    Yuan, Sen; Aubry, Pascal; Fioranelli, Francesco; Yarovoy, Alexander;
    IEEE Sensors Journal,
    pp. 1-1, 2022. DOI: 10.1109/JSEN.2022.3215862

  5. MIMO ambiguity functions of different codes with application to phase-coded FMCW radars
    U. Kumbul; N. Petrov; S. Yuan; C. S. Vaucher; A. Yarovoy;
    IET Conference Proceedings,
    pp. 336-341(5), January 2022.
    document

  6. An Approach for High-Angular Resolution Implementation in Moving Automotive MIMO Radar
    Yuan, Sen; Fioranelli, Francesco; Yarovoy, Alexander;
    In 2021 18th European Radar Conference (EuRAD),
    pp. 449-452, 2022. DOI: 10.23919/EuRAD50154.2022.9784507

  7. Improved Direction Finding Accuracy for A Limited Number of Antenna Elements with Harmonic Characteristic Analysis
    Yuan, Sen; Fioranelli, Francesco; Yarovoy, Alexander;
    In 2022 19th European Radar Conference (EuRAD),
    pp. 1-4, 2022. DOI: 10.23919/EuRAD54643.2022.9924826

  8. A Novel SAR Sidelobe Suppression Method Based on CNN
    Yuan, Sen; Yu, Ze; Li, Chunsheng; Wang, Shusen;
    IEEE Geoscience and Remote Sensing Letters,
    Volume 18, Issue 1, pp. 132-136, 2021. DOI: 10.1109/LGRS.2020.2968336

  9. Maximum Nesigma0 Based on the New Steering Strategy for Geo Sar
    Yuan, Sen; Li, Chunsheng; Yu, Ze; Geng, Jiwen; Yu, Jindong;
    In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,
    pp. 8633-8636, 2019. DOI: 10.1109/IGARSS.2019.8898730

BibTeX support

Last updated: 8 Feb 2023

Sen Yuan

MSc students