Sequential decentralized detection under noisy channels
Published: Oct 1, 2012
Abstract
We consider decentralized detection through distributed sensors that perform level-triggered sampling and communicate with a fusion center (FC) via noisy channels. Each sensor computes its local log-likelihood ratio (LLR), samples it using the level-triggered sampling, and upon sampling transmits a single bit to the FC. Upon receiving a bit from a sensor, the FC updates the global LLR and performs a sequential probability ratio test (SPRT) step....
Paper Details
Title
Sequential decentralized detection under noisy channels
Published Date
Oct 1, 2012
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