DocumentCode
1490606
Title
Distributed signal detection under the Neyman-Pearson criterion
Author
Yan, Qing ; Blum, Rick S.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
Volume
47
Issue
4
fYear
2001
fDate
5/1/2001 12:00:00 AM
Firstpage
1368
Lastpage
1377
Abstract
A procedure for finding the Neyman-Pearson optimum distributed sensor detectors for cases with statistically dependent observations is described. This is the first valid procedure we have seen for this case. This procedure is based on a theorem proven in this paper. These results clarify and correct a number of possibly misleading discussions in the existing literature. Cases with networks of sensors in fairly general configurations are considered along with cases where the sensor detectors make multiple bit sensor decisions
Keywords
distributed processing; optimisation; signal detection; Neyman-Pearson criterion; distributed signal detection; multiple bit sensor decisions; optimum distributed sensor detectors; statistically dependent observations; theorem; Detectors; Probability; Random variables; Sensor fusion; Sensor phenomena and characterization; Signal design; Signal detection; Statistical analysis; Testing; Topology;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.923720
Filename
923720
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