Abstract

In many applications of surveillance an image of ground moving target is needed to classify or recognise them. Forming well-focused radar images of moving ground targets in the presence of strong clutter is a very challenging problem that can be solved when using multi-dimensional radar systems (multi-channel). A sub-optimum method has been proposed that combines Space-Time Adaptive Processing (STAP) with Inverse Synthetic Aperture (ISAR) imaging. This approach introduces and exploits a reformulation of the STAP approach in the Doppler domain (SDAP) to allow for standard ISAR processing to be applied to the SDAP -filtered data. After a short review of this method, open problems are illustrated, such as the possibility to find improved solutions to the sub-optimal solution and the possibility to extend the multi-dimensionality to the fully-polarimetric case, which would, in theory, improve the target-clutter separability and therefore, improve the image quality.