Analysis of ISAR imaging using combined MUSIC and ICA algorithms

This paper presents an overview of the potential for the use of the combined MUSIC and ICA algorithms for scattering center separation in radar imaging. This work uses the combination of these algorithms applied to the specific problem of scattering center extraction from a complex radar target. The radar data is first processed using ICA to extract the independent scattering components. These components are then processed using the MUSIC algorithm to isolate the signal subspace and form an image. The target data used in this paper was generated using the turntable ISAR system at the University of Texas at Arlington. The results of this paper show the viability of the combination of these signal processing algorithms to enhance the users ability to extract scattering centers within a complex target.