Target detection in cluster based WSN with massive MIMO systems
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Neyman–Pearson detection method is presented for a cluster-based wireless sensor network (WSN) massive multiple-input multiple-output (MIMO) system. In this scenario, the sensors are divided into K clusters in which the number of clusters is smaller than the number of receivers antennas. A closed-form optimal solution is derived for the gain of each sensor. Simulation results show that for a constant total transmit power in the network, the probability of detection of the proposed method outperforms the corresponding methods addressed by Jiang et al.
