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Expected Likelihood based quality assessment of DOA estimates relies on the underlying signal and noise distributions having likelihood ratio probability density functions for the (unknown) true parameters that are independent of the actual true DOAs. This has been shown, both analytically and practically for a wide range of real and complex Gaussian solutions. Recent studies [1, 2] focusing on compound...
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