Abstract
We consider distributed detection in wireless sensor networks with a multiple-antenna fusion center. Using the large deviation principle and random matrix theory, we analyze the detection performance of optimal hypothesis testing in terms of error exponents for the false alarm and miss detection probabilities.
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