Welcome to 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing

Following the success of the previous two editions of the workshop on compressive sensing applied to radar, we are pleased to announce the third one in this series. The 3rd Int. Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa 2015) will be held in Pisa (Italy) on 16-19 June 2015. 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 include but are not limited to:

  • Compressive sensing theory
  • Mathematical aspects of Compressive sensing in imaging systems
  • Sparsity of Radar/SAR/Sonar/IR signals
  • Applications of sparse sensing in Radar/SAR/Sonar/IR signal processing
  • Applications of sparse sensing in Electromagnetics.
  • 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
  • Netsted array processing in radar/sonar/EO/IR systems
  • Sparse sensing in synthetic aperture imaging systems


All accepted and presented papers will be referenced by IEEEXplore


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.More


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.

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