|
Volumn 42, Issue 3, 1996, Pages 990-994
|
Necessary conditions for optimum distributed sensor detectors under the Neyman-Pearson criterion
|
Author keywords
Decentralized detection; Dependent observations; Distributed detection; Neymanpearson criteria
|
Indexed keywords
ALGORITHMS;
DECISION THEORY;
MATHEMATICAL MODELS;
NUMERICAL ANALYSIS;
PROBABILITY DENSITY FUNCTION;
RADAR SYSTEMS;
SENSORS;
SIGNAL TO NOISE RATIO;
SONAR;
STATISTICS;
VECTORS;
DECENTRALIZED DETECTION;
DEPENDENT OBSERVATIONS;
DISTRIBUTED SIGNAL DETECTION;
NEYMAN-PEARSON CRITERIA;
OPTIMUM FUSION RULE;
OPTIMUM TEST STATISTICS;
RANDOM VECTORS;
SIGNAL DETECTION;
|
EID: 0030150208
PISSN: 00189448
EISSN: None
Source Type: Journal
DOI: 10.1109/18.490562 Document Type: Article |
Times cited : (48)
|
References (9)
|