Distributed Sequential Detection: Dependent Observations and Imperfect Communication.

IEEE Transactions on Signal Processing(2020)

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摘要
In this paper, we consider the problem of distributed sequential detection using wireless sensor networks in the presence of imperfect communication channels between the sensors and the fusion center. Sensor observations are assumed to be spatially dependent. Moreover, the channel noise can be dependent and non-Gaussian. We propose a copula-based distributed sequential detection scheme that takes ...
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关键词
Sensor phenomena and characterization,Probability density function,Sensor fusion,Frequency selective surfaces,Wireless sensor networks,Error probability
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