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SUMMARY:Multidimensional radar imaging of ground moving targets - Marco Ma
 rtorella (University of Birmingham)
DTSTART:20230202T114500Z
DTEND:20230202T123000Z
UID:TALK194554@talks.cam.ac.uk
DESCRIPTION:In many applications of surveillance an image of ground moving
  target is needed to classify or recognise them. Forming well-focused rada
 r images of moving ground targets in the presence of strong clutter is a v
 ery challenging problem that can be solved when using multi-dimensional ra
 dar systems (multi-channel). A sub-optimum method has been proposed that c
 ombines Space-Time Adaptive Processing (STAP) with Inverse Synthetic Apert
 ure (ISAR) imaging. This approach introduces and exploits a reformulation 
 of the STAP approach in the Doppler domain (SDAP) to allow for standard IS
 AR processing to be applied to the SDAP-filtered data. After a short revie
 w of this method\, open problems are illustrated\, such as the possibility
  to find improved solutions to the sub-optimal solution and the possibilit
 y to extend the multi-dimensionality to the fully-polarimetric case\, whic
 h would\, in theory\, improve the target-clutter separability and therefor
 e\, improve the image quality.
LOCATION:Seminar Room 1\, Newton Institute
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