DocumentCode
1287399
Title
Distributed detection with multiple sensors I. Advanced topics
Author
Blum, Rick S. ; Kassam, Saleem A. ; Poor, H. Vincent
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
Volume
85
Issue
1
fYear
1997
fDate
1/1/1997 12:00:00 AM
Firstpage
64
Lastpage
79
Abstract
Following the foundational work that established basic ideas for optimum distributed defection schemes using multiple sensors (as reviewed in Part I of this two-part review), further work on distributed detection has developed many useful and interesting extensions of the basic concepts. These more recent developments parallel those that arose from the early work on centralized, classical signal detection, resulting in new ideas of asymptotically optimum nonparametric, robust, and sequential centralized detection. Recent developments on these topics in the setting of distributed signal detection are reviewed in the present paper. Results in these directions are important in practice because they allow cases of modeling uncertainty to be addressed, and they provide more efficient detection schemes by optimizing more general performance criteria
Keywords
modelling; optimisation; random processes; sensor fusion; signal detection; CFAR; asymptotically optimum nonparametric detection; modeling; multiple sensors; narrowband signals; robust centralized detection; sequential centralized detection; signal detection; uncertainty; Bayesian methods; Constraint optimization; Detectors; Minimax techniques; Narrowband; Sensor fusion; Signal detection; Signal processing; Testing; Uncertainty;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.554209
Filename
554209
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