Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc Schöpe

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

PhD thesis (Nov 2021): Approximately Optimal Resource Management for Multi-Function Radar
Promotor: Hans Driessen, Alexander Yarovoy

Biography

Max Schöpe received his Bachelor of Engineering in Information and Electrical Engineering at the University of Applied Sciences in Hamburg in February 2015. During his Bachelor studies, he was employed for 2 years as a working student at NXP Semiconductors Germany GmbH. After graduation, he decided to pursue the Master of Science program of Telecommunication and Sensing Systems at TU Delft. He graduated in October 2017 in the Microwave Sensing, Signals and Systems group, where he subsequently started as a PhD student. Currently, Max Schöpe is working on sensor resource management for radar. His main research interest is to find algorithms that can optimize the radar resources in a non-myopic fashion by using Partially Observable Markov Decision Processes (POMDP).

Integrated Cooperative Automated Vehicles

This research program addresses current transportation challenges regarding throughput and safety with an integrated approach to automated and cooperative driving

  1. A Constrained POMDP Formulation and Algorithmic Solution for Radar Resource Management in Multi-Target Tracking
    Schöpe, Max Ian; Driessen, Hans; Yarovoy, Alexander;
    ISIF Journal of Advances in Information Fusion,
    Volume 16, Issue 1, pp. 31-47, June 2021.
    document

  2. Approximately Optimal Resource Management for Multi-Function Radar
    Schöpe, Max Ian;
    PhD thesis, TU Delft, Delft, The Netherlands, 2021. DOI: 10.4233/uuid:2ba49af1-fa17-476c-88f4-97783ca4e39a

  3. Multi-Task Sensor Resource Balancing Using Lagrangian Relaxation and Policy Rollout
    Max Ian Schöpe; Hans Driessen; Alexander Yarovoy;
    In Proceedings of 23rd International Conference on Information Fusion (FUSION),
    2020. DOI: 10.23919/FUSION45008.2020.9190546
    document

  4. Optimal Balancing of Multi-Function Radar Budget for Multi-Target Tracking Using Lagrangian Relaxation
    Max Ian Schöpe; Hans Driessen; Alexander Yarovoy;
    In Proceedings of 22nd International Conference on Information Fusion (FUSION),
    pp. 1-8, 2019.
    document

  5. Using Golay Sequences to Improve the Range Performance of Hybrid Codes for MIMO Radar
    Max Ian Schöpe; Hans Driessen; Alexander Yarovoy;
    In Proceedings of 19th International Radar Symposium (IRS),
    2018. DOI: 10.23919/IRS.2018.8448132
    document

  6. Improvement of Hybrid Codes for MIMO radar using multi-pulse waveforms and signal processing: Theoretical analysis and experimental evaluation
    Max Ian Schöpe;
    MSc thesis, TU Delft, 2017.
    document

BibTeX support

Last updated: 23 Nov 2021

Max Schöpe

Alumnus

MSc students