Interactive distributed detection with conditionally independent observations
Shengyu Zhu, Earnest Akofor, Biao Chen · 2013
This paper deals with interactive distributed detection with conditionally independent observations where the fusion center may exchange information with a local sensor. Using a two sensor system, we demonstrate that this two-way interaction provides improvement in detection performance compared with the classical tandem detection system where only one-way communication is allowed. An important observation is that, contrary to that of the tandem network, the fusion rule is no longer a simple likelihood ratio test due to the correlation introduced in the initial feedback from the fusion center to the sensor.