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In this paper, we consider the adaptive detection with multiple-input multiple-output (MIMO) radar in the presence of compound-Gaussian clutter. A Bayesian framework is exploited where the covariance matrices of the primary and the secondary data are assumed to be random, with an inverse complex Wishart distribution. In this framework, the generalized likelihood ratio test (GLRT) is derived. Finally,...
In this paper, we consider the problem of adaptive detection for distributed targets embedded in compound-Gaussian clutter without secondary data. Suppose that some a-priori spectral models for the clutter in the cells under test are available. First, we propose an approximate estimate algorithm for the unknown parameters based on a heuristic approach under both the hypothesis. Then, an approximate...
In this paper, we consider the problem of adaptive detection for distributed targets embedded in Gaussian disturbance without secondary data. Suppose that some a-priori spectral models for the interference in the cells under test and a lower bound on the power spectral density (PSD) of the white disturbance term are available. First, we propose an approximate estimate algorithm for the unknown parameters...
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