Enhanced Radar Detection and Identification via Compressive Sensing Techniques

Sep25Fri

Enhanced Radar Detection and Identification via Compressive Sensing Techniques

Fri, 25/09/2015 - 10:00

Location:

Speaker: 
Dr. María A. González-Huici
Affiliation: 
Fraunhofer Institute FHI Cognitive Radar Department
Synopsis: 

Compressive Sensing (CS) is an emerging signal processing theory with a solid mathematical basis, which has rapidly evolved in the recent years becoming a key framework in various areas of applied mathematics, computer science and electrical engineering. It predicts that signals, which allow a sparse representation in some domain, can be recovered from highly incomplete linear measurements (far fewer samples than required by the Shannon-Nyquist sampling theorem) by using efficient techniques. This property has a big potential for practical radar applications as it may accelerate the acquisition speed and reduce operational costs. Moreover, it has been demonstrated that exploiting the inherent sparsity of the radar data can bring further gain in terms of augmented resolution and significant noise and clutter removal. In addition, a dynamic (and eventually knowledge-aided) adaptation of the sampling and processing strategies to the investigated environment results of major interest in the CS application context since adaptive sensing as well as adaptive/learned dictionaries can maximize the acquired amount of relevant information with a reduced number of samples allowing optimum recovery.
The presented work will provide an overview of the research activities of our group and will show some examples of the potential benefits of CS processing techniques in radar target detection and identification problems. These examples cover applications such as beamforming and direction of arrival estimation for arbitrary antenna arrays and MIMO, radar imaging and autofocusing, and novel target classification approaches in diverse scenarios (urban areas, disaster areas, underground, etc.).

Biography: 

Dr. María A. González-Huici graduated in Physics from the Autonomous University of Madrid, Spain, in Sep. 2002 and carried out postgraduate studies in Astro- and Geophysics in the University of Bonn between 2002-2005. Since May 2005, she is with the Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR) in Wachtberg, Germany, where she leads the Adaptive Sensing and Perception Team at the Cognitive Radar Department. Between 2009 and 2011, she was temporarily employed by the Center for Sensor Systems, ZESS, University of Siegen, Germany, in a project for sensor based ground surveillance to control the stability of mobile construction machines. In 2013 she received her PhD cum laude from the University of Bonn with her thesis entitled: „Accurate Ground Penetrating Radar (GPR) Numerical Modeling for Automatic Detection and Recognition of Antipersonnel Landmines“. Her main research interests cover, radar signal and image processing, adaptive sensing, scattering and electromagnetic modeling and novel imaging and target detection/classification techniques. Other interests include close loop radar architectures, MIMO radar and compressive sensing. Dr. Gonzalez-Huici serves as voluntary reviewer for a number of international journals and was a member of the scientific comittee of the COSERA 2015.

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