The signal detection problem when distributed sensors are used and a global decision is desired is considered. Local decisions from the sensors are fed to a data fusion center which then yields a global decision based on a fusion rule. A Bayesian formulation of the problem is considered and a person-by-person optimization of the overall system is carried out. The special case of identical detectors with independent observations is considered as well. An illustrative example is also presented.
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences