1st International Workshop on Compressed Sensing applied to Radar

Radar/SAR awaits Compressed Sensing

Compressed sensing (CS) techniques offer a framework for the detection and allocation of sparse signals with a reduced number of samples. Today, modern radar systems operate with high bandwidths - demanding high sample rates according to the Shannon-Nyquist theorem - and a huge number of single elements for phased array antennas. Often only a small amount of target parameters is the final output, raising the question, whether CS could be a good means to reduce data size, complexity, weight, power consumption and costs of radar systems. The amount of publications addressing the application of CS to radar is still limited, leaving open a number of questions.

Scope

The scope of the proposed International Workshop is to bring experts of Compressed Sensing together to explore the state-of-the-art in development of such techniques in the different nations and for the different applications and to turn out its advantages or possible drawbacks compared to classical solutions. The workshop program will include invited speeches from distinguished experts as well as contributed talks.

Key aspects

Contributions are expected on, but not limited to:

CS for pulse compression
CS for synthetic aperture radar (SAR)
CS for SAR tomography
CS for active and passive airspace surveillance
CS for moving target detection
CS for radar clutter suppression
CS for MIMO architectures
Hardware aspects of CS
CS for radiometry and sonar
Mathematical aspects of CS in radar
CS in statistical signal processing

Participants

The workshop will provide a forum for experts, research engineers, and scientists working in the area of Compressive Sensing and Radar/SAR.
They get insight into the current research trends, innovative sensor technology, associated signal processing, and the subsequent data processing and transmission steps.
Veranstaltungsort

Bonn, Germany
Datum

14.5.2012 - 16.5.2012
Organisation

Fraunhofer-Institut für Hochfrequenzphysik und Radartechnik FHR