Performance Evaluation of Decision Fusion for Distributed Detection With Side Information

Fabeck, Gernot; Mathar, Rudolf

doi:10.1234/mjee.v5i1.379

Document Type : Review Article

Authors

RWTH Aachen University

https://doi.org/10.1234/mjee.v5i1.379

Abstract

Efficient evaluation of decision fusion algorithms becomes particularly important when different fusion schemes have to be compared with respect to an underlying performance metric or when a large number of evaluations are required for optimization purposes. In this paper, we present explicit expressions for the global error probabilities of decision fusion for distributed detection with side information. In the considered distributed detection problem, the sensors compress their observations independently and transmit local decisions to a fusion center that combines the received decisions with respect to available side information and computes the final detection result. In the special case of identical sensors, computationally efficient expressions are obtained by using the multinomial distribution. Numerical results obtained by considering the Gaussian detection problem reveal the influence of different qualities of side information on the overall detection performance.

Keywords

References

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Majlesi Journal of Electrical Engineering

Performance Evaluation of Decision Fusion for Distributed Detection With Side Information

References

References

Volume 5, Issue 1 - Serial Number 1
March 2011

Performance Evaluation of Decision Fusion for Distributed Detection With Side Information

References

References

Volume 5, Issue 1 - Serial Number 1March 2011

Volume 5, Issue 1 - Serial Number 1
March 2011