DocumentCode
1355817
Title
Randomized fusion rules can be optimal in distributed Neyman-Pearson detectors
Author
Han, Yong In ; Kim, Taejeong
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
43
Issue
4
fYear
1997
fDate
7/1/1997 12:00:00 AM
Firstpage
1281
Lastpage
1288
Abstract
We show that randomized fusion rules can be locally optimal in distributed detection systems under the Neyman-Pearson criterion. This result is contrary to common belief. We first formulate conditions for a randomized fusion rule to be locally optimal. Then, we present distribution functions of local observations that satisfy these conditions
Keywords
optimisation; random processes; sensor fusion; signal detection; Neyman-Pearson criterion; distributed Neyman-Pearson detectors; distributed detection systems; distribution functions; local observations; locally optimal rules; randomized fusion rules; Detectors; Differential equations; Distribution functions; Logistics; Probability; Random variables; Sensor fusion; Signal detection; Tail; Testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.605596
Filename
605596
Link To Document