Distributed signal detection under the Neyman-Pearson criterion

IEEE Transactions on Information Theory

Volumn 47, Issue 4, 2001, Pages 1368-1377

  Yan, Q ^a   Blum, R S ^a  

^a Lehigh University   (United States)

Author keywords

Correlated observations; Multisensor; Neyman Pearson criterion

Indexed keywords

CURVE FITTING; MATRIX ALGEBRA; PROBABILITY DENSITY FUNCTION; SENSORS; THEOREM PROVING; VECTORS;

CORRELATED OBSERBATIONS; DISTRIBUTED SIGNAL DETECTION; MULTISENSOR; NEYMAN-PETER CRITERION;

SIGNAL DETECTION;

EID: 0035333298     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.923720     Document Type: Article

References (16)

1. Decentralized detection
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10. Unexpected properties and optimum distributed sensor detectors for dependent observation cases
11. On some unresolved issues in finding optimum distributed detection schemes
12. Distributed data fusion-A singular situation in Lagrange multiplier optimization