Abstract
In this paper, we propose three Low-Rank (LR) STAP Filters and the corresponding adaptive detectors when the disturbance is modelled as the sum of a Spherically Invariant Random Vector (SIRV) and a white noise Gaussian. The orthogonal projectors onto the subspace clutter are built from the Sample Covariance Matrix (SCM), the persymmetric SCM (by using the temporal and/or spatial symmetric properties of the RADAR system) and the Normalized Sample Covariance Matrix (NSCM). We present the theoretical performances of these three filters based on the statistical law of Signal to Noise Ratio (SNR) Loss computed Traitement du signal – n° 1-2/2011, pages 143-170 07•Ginolhac(et al) 26/09/11 11:26 Page 143
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