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Deciscion on CoSeRa 2016
We area happy to announce that we will oraganize another international workshop on Compressive Sensing CoSeRa. It will take place in Aachen in 19-22 September 2016.
CoSeRa
The server of CoSeRa
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4th CoSeRa 2016
Following the success of the previous three editions of the workshop on compressive sensing applied to radar, we are pleased to announce … Continue Reading
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Location
The upcoming international workshop on Compressive Sensing will be hosted by the university RWTH Aachen. Aachen it self has a long history… Continue Reading
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4th CoSeRa 2016
Following the success of the previous three editions of the workshop on compressive sensing applied to radar, we are pleased to announc … Continue Reading
CoSeRa
Welcome to the International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing.
4th Edition: 19.-22. September 2016, Aachen, Germany
Following the success of the previous editions of the workshop on compressive sensing applied to radar, we are pleased to announce the 4th Int. Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016). It will be held in Aachen (Germany) on 19-22 September 2016. The aim of CoSeRa is to bring experts of Compressive Sensing (CS)and radar/sonar/EO/IR signal processing and remote sensing together to explore the state-of-the-art in development of CS techniques for different areas of applications and to turn out its advantages or possible drawbacks compared to classical solutions.
Topics of interest include (but are not limited to):
- + 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
Radar/SAR awaits Compressed Sensing
Compressed sensing (CS) techniques offer a mathmatical 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.
