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Since training samples are not always identically distributed with the clutter in the cell under test (CUT) in heterogeneous clutter environments, which lead to an inaccurate estimate of clutter covariance matrix (CCM), the performance of space time adaptive processing (STAP) degrade significantly. In order to improve the performance of STAP, we propose a robust weighted knowledge-aided (KA) STAP...
As training samples are not always identically distributed with the clutter in the cell under test (CUT) in heterogeneous environments, the estimated clutter covariance matrix for space-time adaptive processing (STAP) is not accurate, which degrades the performance of STAP. To improve the performance of STAP in heterogeneous environments, this letter proposes a novel training sample selection algorithm...
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