Distributed Detection of Sparse Signals with Censoring Sensors via Locally Most Powerful Test

IEEE Signal Processing Letters(2020)

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摘要
In this letter, we consider the problem of distributed detection of stochastic sparse signals in battery-powered sensor networks (SNs). For this problem, an original locally most powerful test (oLMPT) detector has previously been developed, where compressed measurements are collected from all local sensors and then fused at the fusion center (FC) for making the global decision. However, since the ...
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关键词
Detectors,Sensor fusion,Testing,Probability density function,Energy resources,Energy consumption
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