Distributed decision fusion using the Neyman-Pearson criterion

Keyphrases

• Local Detectors 100%
• Neyman-Pearson Criterion 100%
• Distributed Decision Fusion 100%
• Decision Fusion 66%
• Binary Choice 66%
• Fusion Center 66%
• Computational Requirements 33%
• Optimization Approach 33%
• False Alarm Rate 33%
• Detection Scheme 33%
• Fusion Architecture 33%
• Global Fusion 33%
• Nth Order 33%
• Global Detection 33%
• Polynomial Degree 33%
• Centralized Detection 33%
• Fusion Rule 33%
• Person-by-person Optimization 33%
• Detection Probability 33%

Engineering

• Decision Fusion 100%
• Pearson Criterion 100%
• False Alarm Rate 33%
• Fusion Rule 33%
• Optimization Approach 33%
• Polynomial Order 33%
• Detection Scheme 33%
• Detection Probability 33%

Computer Science

• Binary Decision 100%
• False Alarm Rate 50%
• Detection Probability 50%