Distributed Bayesian signal detection
- 1 September 1989
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Theory
- Vol. 35 (5), 995-1000
- https://doi.org/10.1109/18.42208
Abstract
The signal detection problem is considered for the case in which distributed sensors are used and a global decision is desired. Local decisions from the sensors are fed to a data fusion center, which 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 presented.Keywords
This publication has 14 references indexed in Scilit:
- An evidential reasoning approach to distributed multiple-hypothesis detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Decentralized dynamic decision makingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- On Hypothesis Testing in Distributed Sensor Networks.Published by Defense Technical Information Center (DTIC) ,1987
- Design and Performance Comparison of Distributed Detection NetworksIEEE Transactions on Aerospace and Electronic Systems, 1987
- Optimal Decision Fusion in Multiple Sensor SystemsIEEE Transactions on Aerospace and Electronic Systems, 1987
- Optimal Detection and Performance of Distributed Sensor SystemsIEEE Transactions on Aerospace and Electronic Systems, 1987
- A theory of distributed detectionSignal Processing, 1986
- Hypotheses Testing in a Distributed EnvironmentIEEE Transactions on Aerospace and Electronic Systems, 1986
- On the complexity of decentralized decision making and detection problemsIEEE Transactions on Automatic Control, 1985
- Team Decision ProblemsThe Annals of Mathematical Statistics, 1962