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This work addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous clutter. We first derive the generalized likelihood ratio test (GLRT) based on the two-step design procedure. Then, considering with the Bayesian framework and the prior knowledge about the clutter, we adopt the Maximum A Posteriori (MAP) estimator of the clutter covariance matrix and...
This paper mainly deals with the target detecting problem using polarimetric Multiple Input and Multiple Output (MIMO) radar with unknown covariance matrix. And the GLRT-based receiver is devised by resorting to the two-step design procedure. Specifically, the GLRT is devised with known covariance, and then, a suitable estimate of covariance is obtained using secondary data to plug into the derived...
This paper mainly deals with the target detecting problem using a MIMO radar against compound-Gaussian clutter with an unknown covariance matrix. The space-time coding MIMO radar model has adopted, and developed to compound-Gaussian case. The detector based on generalized likelihood ratio test (GLRT) criterion is studied, and two-step design procedure is adopted. Specifically, the GLRT is derived...
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