The first objective of our group is to understand the physical interactions between radar waves and complex environnements as forests or urban areas. Our second objective is to use our knowledge on the radar phenomenology to improve classical image processing tools or to propose new solutions for classification, detection or inversion for example.
New concept & Signal Processing: to develop new efficient and robust processing algorithms in radar applications. Research mainly focused on statistical signal processing and machine learning theories for robust estimation, detection, classification and clustering, consists in developing novel methodologies based on model-driven and data-driven both approaches for enhancing performances of Radar and Hyperspectral Image processing with applications to STAP, MIMO radar, SAR and change detection.
To Benefit next generation radar and communication systems, the new hardware (NGHW) area in SONDRA aims to research and develop innovative antennas, radio frequency and microwave hardware, and signal processing hardware. The NGHW area includes R&D in advanced system architectures for rf and signal processing, phased array antennas, metamaterial antennas, wideband antennas, application of novel materials and novel components, microwave and milimeter wave circuits, integrated circuits, and software defined radio (SDR). An example NGHW project is on a next generation auto-adaptive computer framework for high-speed, energy efficient radar signal processing (PHD student Mr.Goku Madathupalyam Chinnappan from the national university of Singapore). Another NGHW examples is the collaboration with Geeps-laboratory on high-speed, high-resolution analog to digital converters.