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In this paper we address polarimetric adaptive detection of targets embedded in compound-Gaussian clutter with unknown covariance matrix. To this end we assume that a set of secondary data, free of signal components and with the same covariance structure of the cell under test, is available. We resort to a design procedure based upon the generalized likelihood ratio test (GLRT): first we derive the...
In this paper we address estimation of the structured covariance matrix of a Gaussian process. To this end we assume that the aforementioned quantity is the sum of a positive semidefinite hermitian and persymmetric term, which accounts for the interference, plus a matrix proportional to the identity and representative of the internal noise covariance. Under these constraints we devise the maximum...
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