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Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context
2015
IEEE Transactions on Signal Processing
This paper addresses the problem of the Clutter Subspace Projector (CSP) estimation in the context of a disturbance composed of a Low Rank (LR) heterogeneous clutter, modeled here by a Spherically Invariant Random Vector (SIRV), plus a white Gaussian noise (WGN). In such context, the corresponding LR adaptive filters and detectors require less training vectors than classical methods to reach equivalent performance. Unlike classical adaptive processes, which are based on an estimate of the noise
doi:10.1109/tsp.2015.2403284
fatcat:ahbkk7kz3fardcqbtgwcskg6xi