Title :
Necessary conditions for N distributed sensor detectors connected in parallel under the Neyman-Pearson criterion
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394994
