A statistical approach to optimal target detection and localization in the presence of noise
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چکیده
The problem addressed in this paper is both the detection and localization of a point reflector embedded in a medium by sensor array imaging when the array response matrix is measured in a noisy environment. We construct a detection test based on reverse-migration of the array response matrix that is the most powerful for a given false alarm rate and prove that it is more efficient than the one introduced in [3], which is based on the singular value decomposition of the response matrix. Moreover, we show that reflector localization should be performed with reverse-time migration rather than any other form of weightedsubspace migration and we give the standard deviation of the localization error.
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تاریخ انتشار 2010