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Channel-Aware Decentralized Detection via Level-Triggered Sampling

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3 Author(s)
Yasin Yilmaz ; Electrical Engineering Department, Columbia University, New York, NY, USA ; George V. Moustakides ; Xiaodong Wang

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 mechanism, and at each sampling instant 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. We derive the fusion rules under various types of channels. We further provide an asymptotic analysis on the average decision delay for the proposed channel-aware scheme, and show that the asymptotic decision delay is characterized by a Kullback-Leibler information number. The delay analysis facilitates the choice of the appropriate signaling schemes under different channel types for sending the 1-bit information from the sensors to the FC.

Published in:

IEEE Transactions on Signal Processing  (Volume:61 ,  Issue: 2 )