Arezki Younsi

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A robust and data-dependent adaptive thresholding algorithm for nonhomogeneity detection in non-Gaussian interference is addressed. The algorithm is to be used as a preprocessing technique to select a set of homogeneous data from a bulk of nonhomogeneous compound-Gaussian secondary data employed for adaptive radar. An iterative version of the algorithm is(More)
An adaptive matched subspace CFAR detector of Gaussian distributed signals is analyzed. The detector is an extension of the one developed in F. Gini and A. Farina (1999) to the case of unknown disturbance covariance matrix. This matrix is estimated from secondary data which can be non homogenous. In this latter case we use a robust estimate of the(More)
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