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Albert Huizing
Researcher at Netherlands Organisation for Applied Scientific Research
Publications - 43
Citations - 542
Albert Huizing is an academic researcher from Netherlands Organisation for Applied Scientific Research. The author has contributed to research in topics: Radar & Continuous-wave radar. The author has an hindex of 10, co-authored 43 publications receiving 430 citations. Previous affiliations of Albert Huizing include Rockwell Collins.
Papers
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Proceedings ArticleDOI
Gesture recognition with a low power FMCW radar and a deep convolutional neural network
TL;DR: Experimental results of hand gesture recognition with a low power FMCW radar and a deep convolutional neural network (CNN) yielding excellent recognition performance in a simple test case consisting of 3 different gestures.
Proceedings ArticleDOI
An efficient scheduling algorithm for a multifunction radar
Albert Huizing,A.A.F. Bloemen +1 more
TL;DR: An efficient scheduling algorithm is described that is able to schedule the dwell requests of each function on the basis of their priority and transmission window and shows results in a typical scenario in which a number of seaskimmers is engaged by semi-active surface-to-air missiles.
Proceedings ArticleDOI
High resolution radar imaging using coherent multiband processing techniques
TL;DR: In this paper, a coherent multiband ISAR imaging technique was proposed that employs two or more narrowband radar systems that operate in different frequency bands to achieve a very high downrange resolution and produces little artifacts due to noise.
Journal ArticleDOI
Deep Learning for Classification of Mini-UAVs Using Micro-Doppler Spectrograms in Cognitive Radar
Albert Huizing,Matijs Heiligers,Bastiaan Dekker,Jacco J. M. de Wit,Lorenzo Cifola,R. I. A. Harmanny +5 more
TL;DR: There is a need for automatic target recognition (ATR) in radar using micro -Doppler spectrograms because of the different nature of the radar imaging principle and target scattering mechanisms.
Proceedings Article
A cognitive radar network: Architecture and application to multiplatform radar management
TL;DR: Reinforcement learning is used to maximise the survivability of naval surface ships in a littoral scenario by managing the modes of an air surveillance radar.