Improved eigenanalysis canceler based on data-independent clutter subspace estimation for space-time adaptive processing

Abstract

The eigenanalysis canceler (EC) method which is suitable for nonhomogeneous clutter can suppress clutter effectively by discarding the eigenvectors of small eigenvalues, which is a well-known subspace-based space-time adaptive processing (STAP) method. However, the computational complexity of conventional EC STAP method is huge due to the eigenvalue… (More)
DOI: 10.1007/s11432-013-5003-6

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