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In the context of a disturbance composed of a Low Rank (LR) clutter plus a white Gaussian noise, the corresponding LR filters used to detect a target embedded in this disturbance needs less training vectors than classical methods to reach equivalent performance. Unlike the classical one which is based on covariance matrix of the noise, the LR filter is based on the clutter subspace projector. In this...
In this paper, we consider that the disturbance of a STAP system is composed of a low-rank Gaussian clutter and a white Gaussian noise. From this model, the theoretical SNR Loss of a Robust Low-Rank STAP filter based on the Normalized Sample Covariance Matrix is derived by means of a perturbation analysis. Theoretical results are shown to be in good agreement with simulations for a realistic STAP...
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