Title :
Can addition of noise improve distributed detection performance?
Author :
Chen, Hao ; Varshney, Pramod K. ; Michels, James H. ; Kay, Steven M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY
Abstract :
Stochastic-resonance (SR), a nonlinear physical phenomenon in which the performance of some nonlinear systems can be enhanced by adding suitable noise, has been observed and applied in many areas. However, it has not been shown whether or not this phenomenon plays a role in distributed detection. It seems counterintuitive that adding additional noise to the received decisions at the fusion center can improve detection performance. However, in this paper, we demonstrate the existence of the SR phenomenon in decision fusion by examples. An explanation for its existence is provided
Keywords :
nonlinear systems; sensor fusion; signal detection; stochastic processes; decision fusion; distributed detection; nonlinear physical phenomenon; stochastic-resonance; Additive noise; Capacity planning; Noise level; Nonlinear systems; Signal detection; Signal to noise ratio; Stochastic resonance; Strontium; System performance; Testing; Stochastic resonance; decision fusion; distributed detection;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301694
