DocumentCode
2623703
Title
Necessary conditions for N distributed sensor detectors connected in parallel under the Neyman-Pearson criterion
Author
Blum, Rick S.
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
254
Abstract
Necessary conditions are given for an optimum parallel-connected set of distributed sensor detectors with possibly dependent observations. The focus is on a Neyman-Pearson rule where one wishes to find a complete set of sensor fusion rules to maximize the probability of detection for a fixed false alarm probability
Keywords
array signal processing; probability; signal detection; Neyman-Pearson criterion; Neyman-Pearson rule; detection probability; distributed sensor detectors; false alarm probability; necessary conditions; parallel connected detectors; sensor dependent observations; sensor fusion rules; Computer science; Detectors; Equations; Probability; Random variables; Sensor fusion; Sensor phenomena and characterization; Signal design; Signal processing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394994
Filename
394994
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