Radar/SAR awaits Compressed Sensing

Compressed sensing (CS) techniques offer a mathematical 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

This International Workshop will bring together experts of Compressive Sensing 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.


Keynote Speakers

* Michael Davies, Uni. of Edinburgh, UK
* Joachim Ender, Fraunhofer FHR, Germany
* Massimo Fornasier, TU München, Germany
* Rémi Gribonval, INRIA, France

CoSeRa 2016 will provide an excellent forum for exchanging information and discussion on a wide variety of Compressed Sensing and Radar topics. If you want to contribute to the workshop by presenting a topic of your area of expertise, feel free to submit your paper on, but not limited to, the following topics:

+ Foundations and concepts of Compressive Sensing
+ Algorithms for CS signal reconstruction
+ Mathematical aspects of Compressive Sensing in imaging systems
+ Sparsity of radar/sonar/EO/IR signals
+ Applications of sparse sensing in radar/sonar/EO/IR
+ Compressive sensing for SAR Tomography (TomoSAR)
+ Compressive sensing for SAR Interferometry (InSAR)
+ Compressive sensing for Inverse SAR (ISAR)
+ Target detection based on compressive sensing
+ Compressive sensing for slow GMTI
+ Co-prime sampling in radar/sonar/EO/IR systems
+ Co-prime array processing in radar/sonar/EO/IR systems
+ Nested sampling in radar/sonar/EO/IR systems
+ Nested array processing in radar/sonar/EO/IR systems
+ Sparse sensing in synthetic aperture imaging systems
+ Design and implementation of circuits/systems based on CS


Participants

The international workshop will provide an excellent forum for experts, research engineers, and scientists working in the area of Compressive Sensing and Radar/SAR/Sonar and Remote Sensing. Its a good possibility to get insight into the current research trends, innovative sensor technology, associated signal processing, and the subsequent data processing and transmission steps.