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Adaptive fusion model for distributed detection system
Bin Ou Zhu
,
Nirwan Ansari
,
Edwin S. Hou
Electrical and Computer Engineering
Office of the Provost
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Scopus citations
Overview
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Dive into the research topics of 'Adaptive fusion model for distributed detection system'. Together they form a unique fingerprint.
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Keyphrases
Distributed Detection System
100%
Local Detectors
100%
Adaptive Fusion Model
100%
Statistical Methods
33%
Decision Basis
33%
False Alarm Rate
33%
Estimation Error
33%
Detection Probability
33%
Local Decision
33%
Target Recognition
33%
Optimal Decision Rule
33%
Bayesian Information Criterion
33%
Fusing Process
33%
Reference Signal
33%
Reliable Decision
33%
Engineering
Decision Rule
100%
Optimal Decision
50%
Simulation Result
50%
Estimation Error
50%
Probability of False Alarm
50%
Local Decision
50%
Target Recognition
50%
Probability of Detection
50%
Reference Signal
50%