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We deal with the robust design of the Multiple-Input Multiple-Output (MIMO) waveform covariance matrix optimizing the worst case (over steering mismatches) transmit beampattern Peak Sidelobe Level (PSL). To this end, we model the uncertainty set associated with each steering vector through two double-sided, potentially non-convex, quadratic constraints. Additionally, we force two suitable constraints...
This paper deals with adaptive detection of a signal with unknown complex amplitude and whose steering vector presents angle uncertainties. The background environment is assumed homogeneous and Gaussian with unknown covariance matrix. At the design stage, we devise a robust receiver accounting for the aforementioned uncertainty. To this end, we prove that the maximization of the concentrated likelihood...
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