PROJECT TITLE:

3D interferometric ISAR imaging of noncooperative targets

ABSTRACT:

Inverse synthetic aperture radar (ISAR) pictures are frequently used in target classification and recognition applications. Nevertheless, the interpretation of ISAR pictures remains problematic for several reasons. One of these is the very fact that the image plane can't be defined by the user but instead depends on the target's own motions and on its relative position with respect to the radar. In order to overcome the problem of deciphering 2-dimensional (2D) ISAR images, a technique for three-dimensional (3D) reconstruction of moving targets is presented. This method is based on the use of a dual interferometric ISAR system. The interferometric phases measured from two orthogonal baselines are used to jointly estimate the target's effective rotation vector and the heights of the scattering centers with respect to the image plane. The scattering center extraction from the ISAR image is performed by applying a multichannel CLEAN technique. Finally, a 3D image of the moving target is reconstructed from the 3D spatial coordinates of the scattering centers. The effectiveness and robustness of the proposed algorithm is initial proven theoretically and then tested against several radar-target eventualities with within the presence of noise.


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