A distributed wireless sensor network includes a plurality of sensors and a fusion center. The plurality of sensors senses a parameter to be detected from a source. The fusion center receives a signal for the parameter from the sensors by using multiple antennas, and determines the received signal to obtain information corresponding to the parameter. The received signal is modeled based on a binary hypothesis testing using binary hypothesis test using a first channel among the parameter, the source and the sensors, a second channel between the sensors and the fusion center, and the first noise if the sensors, the second noise of the fusion center, and amplification rate. The fusion center determines a received signal based on a log-likelihood ratio (LLR) test. So, information detection performance can be improved.;COPYRIGHT KIPO 2017
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