The research group focuses on satellite communications and signal, and image and data processing aspects of computer vision.

The research on satellite communications focuses on the formulation, modeling, design, and analysis of future satellite communication networks that are capable of supporting new services in a cost efficient manner. This includes channel modeling, transceiver design, pre-coding/equalization, interference handling, cognitive techniques, multibeam processing, relaying, MIMO systems, resource management, energy harvesting, physical layer security and network performance. The communication activities are experimentally driven and supported by the SnT Communications Lab.

The research on computer vision focuses on real-world security applications such as video-based surveillance and automotive safety. Specifically, the team works on the following topics: depth sensing using RGB-D and Time of Flight cameras, 2D and 3D shape modelling, pattern recognition for faces and actions. In addition to data modelling and analysis, dedicated techniques are developed for matching, filtering, classification, segmentation, detection and estimation. These imaging and vision activities are experimentally driven and supported by the SnT Computer Vision Laboratory.  

The research on Radar signal processing with applications in the automotive sector is geared towards analysis and development of signal processing techniques for short to mid-range radar sensing and imaging to enhance resolution and localization. Investigations into cognitive radar and their applicability in emerging coexistence scenarios are also being conducted. Spectrum sharing between radar and communications, sparse sensing are also being considered. A hardware testbench implementing a cognitive radar set-up and incorporating the algorithms developed in the group is being considered at SnT Radar Lab.  



Björn Ottersten - Director of SnT