Today, remote sensing systems/technologies are one of the most essential requirements for
civil and military sectors for various applications. This review article discusses the …

Millimeter-wave (mm-wave) frequency-modu-lated continuous wave (FMCW) radars are
increasingly being deployed for scenario perception in various applications. It is expected …

Radar networks and multistatic synthetic aperture radars (SARs) allow overcoming the
limitations of single radar sensors. However, a good synchronization of the radar sensors is …

This paper proposes a multi-modal cross learning approach to augment the neural network
training phase by additional sensor data. The approach is multi-modal during training (ie …

This paper proposes a Deep Learning approach for microwave frequency based
classification tasks using single frame Range-Doppler maps. The Range-Doppler maps are …

This paper proposes a Deep Learning approach for microwave frequency based dynamic
classification tasks using a time series of Range-Doppler maps. Besides the range and …

In this Letter, the authors report on a 26 GHz joint communication–radar system. By
exploiting the beam steering features of leaky‐wave antennas, angle‐of‐arrival estimation …

Weather radar calibration is a crucial factor to be considered for quantitative applications,
such as QPE (Quantitative Precipitation Estimation), which is used as input for weather risks …

In dieser Dissertation werden lernende Verfahren zur Gesten-und Kochklassifikation mittels
Radarsensorik vorgestellt. Die Verfahren umfassen zum einen die Klassifikation der …

Radar technology offers unique advantages that distinguish it from conventional sensing
technologies. Now, research on industrial sensor systems is rapidly increasing. Due to the …