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
fDate :
1/1/1997 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE