dr.ir. J.N. Driessen

Parttime Associate Professor
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Radar signal/data processing; radar management

Themes: Distributed sensor systems, Radar for Remote Sensing and Targets Characterization, Radar technology


Hans Driessen obtained the MSc and PhD degree in 1987 and 1992, respectively, both from the department of Electrical Engineering at the TU-Delft. Since then he has been employed with Thales Nederland BV. He has held various positions as system designer of plot extraction and track processing, technical authority on tracking and data fusion, and knowledge and technology manager in the area of algorithms for radar signal/data processing and radar management. He has been involved in the acquisition, execution and monitoring of a variety of (inter)national research projects, including EDA and EU FP6/7 projects. He holds a partime position as associate professor at the EEMCS faculty in the Microwave Signals Sensor and Systems group in the field of Radar Systems, Waveforms and Processing.

EE5020 Sensor signal and data processing

Signal and data processing techniques for sensor and surveillance (radar) systems

ET4175 Radar II: Theory and system Design

Introduction to the design and operation of modern radar systems, with specific emphasis on the study of radar waveforms and elements of system design

Projects history

Sensor Technology Applied in Reconfigurable Systems

reconfigurable sensors and sensor networks applied in the context of the security domain

  1. Doppler Spectrum Parameter Estimation for Weather Radar Echoes Using a Parametric Semianalytical Model
    Dash, Tworit; Driessen, Hans; Krasnov, Oleg A.; Yarovoy, Alexander;
    IEEE Transactions on Geoscience and Remote Sensing,
    Volume 62, pp. 1-18, 2024. DOI: 10.1109/TGRS.2023.3338233

  2. Precipitation Doppler Spectrum Reconstruction with Gaussian Process Prior
    Dash, Tworit Kumar; Driessen, Hans; Krasnov, Oleg; Yarovoy, Alexander;
    In 2023 IEEE Conference on Antenna Measurements and Applications (CAMA),
    pp. 909-914, 2023. DOI: 10.1109/CAMA57522.2023.10352683

  3. 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.

  4. 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

  5. Wind turbine angular velocity estimation using polarimetry
    Chrysovalantis Kladogenis; Hans Driessen; Oleg A. Krasnov; Alexander G. Yarovoy;
    In 13th European Conference on Antennas and Propagation (EUCAP 2019), 31 March - 5 April 2019, Krakow, Poland,
    pp. 1-4, 2019.

  6. 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.

  7. 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

  8. Track selection in multifunction radars for multi-target tracking: An anti-coordination game
    Nikola Bogdanovic; Hans Driessen; Olexander Yarovyi;
    In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 3131-3135, 2016. DOI: 10.1109/ICASSP.2016.7472254

  9. Threat-based sensor management for target tracking
    F Katsilieris; JN Driessen; A Yarovoy;
    IEEE Transactions on Aerospace and Electronic Systems,
    Volume 51, Issue 4, pp. 2772--2785, 2015.

  10. Threat-based sensor management for joint target tracking and classification
    Katsilieris, F.; Driessen, H.; Yarovoy, A.;
    In The 18th International Conference on Information Fusion (Fusion), 6-9 July 2015,
    pp. 435-442, 2015.

  11. Radar resource management for improved situational awareness
    Katsilieris, Fotios; Driessen, Hans; Yarovoy, Alexander;
    In Proceedings of the International Radar Conference 2014, Lille, France,
    pp. 1-6, October 2014.

  12. Human motion classification using a particle filter approach: multiple model particle filtering applied to the micro-Doppler spectrum
    Groot, S.; Harmanny, R.; Driessen, H.; Yarovoy, A.;
    International Journal of Microwave and Wireless Technologies,
    Volume 5, Issue 3, pp. 391-399, 2013.

  13. Model-based classification of human motion: Particle filtering applied to the micro-Doppler spectrum
    SR Groot; A Yarovoy; RIA Harmanny; JN Driessen;
    W Hol; {Le Chevalier et al}, F (Ed.);
    EuMA, , pp. 198--201, 2012.

  14. Sensor management for PRF selection in the track-before-detect context
    Katsilieris, Fotios; Boers, Yvo; Driessen, Hans;
    In Proceedings of the IEEE Radar Conference,
    pp. 360-365, 2012.

  15. Optimal search: a practical interpretation of information-driven sensor management
    Katsilieris, Fotios; Boers, Yvo; Driessen, Hans;
    In Proceedings of the 15th International Conference on Information Fusion,
    pp. 439-446, 2012.

  16. De-ghosting of tomographic images in a radar network with sparse angular sampling
    Fasoula, Angie; Driessen, Hans; van Genderen, Piet;
    International Journal of Microwave and Wireless Technologies,
    Volume 2, Issue Special Issue 3-4, pp. 359--367, August 2010.

  17. EM Estimation of a Generic 2D Object Model Based on a Sparse Set of Incomplete ISAR Images
    Fasoula, Angie; Driessen, Hans; van Genderen, Piet;
    In 7th European Radar Conference (EuRAD-2010),
    Paris, France, pp. 240 -- 243, Sept. 30 - Oct. 2010.

BibTeX support

Last updated: 17 May 2023