Title :
Multiple-sensor distributed detection systems with data fusion
Author_Institution :
Dept. of Electr. & Comput. Eng., Naval Postgraduate Sch., Monterey, CA
Abstract :
This short paper presents a more general formulation to evaluate the global performance improvement in decentralized multiple-sensor distributed detection systems with data fusion. Furthermore, a comparative study of the global performance improvement in centralized and decentralized approaches is discussed in case of Gaussian distributed observations. The performance loss due to the decentralized approach is also discussed. The needed number of sensors, in the decentralized approach to achieve a performance non inferior to the centralized approach, is also obtained. We consider more complicated examples by considering a large number of sensors to characterize the performance trade-off between the centralized and decentralized approaches. Then the communications requirements can be compared to choose a preferred architecture
Keywords :
Gaussian distribution; sensor fusion; signal detection; Gaussian distributed observations; centralized approach; communications requirements; data fusion; decentralized approach; global performance; multiple-sensor distributed detection systems; performance loss; preferred architecture; Bandwidth; Data engineering; Decision making; Delay; Distributed computing; Economic indicators; Performance loss; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628540
