Block-sparse 3-D ISAR image reconstruction in a non-coherent multistatic scenario

This paper introduces a new technique for multistatic/multiband ISAR image fusion. Developing this technique, special regard was given to the facts that coherence between separated sensors cannot be assumed automatically and that the fusion has to be performed in all three spatial dimensions. The result is a 3-D ISAR image that mitigates the problem of aspect angle dependence of ISAR images used for classification. The presented method is furthermore a solution to fuse heterogeneous signals (e.g. multiband). A simulation illustrates the functionality of the technique.