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Decision Fusion With Unknown Sensor Detection Probability

Year: 2014
Type: article
Abstract: In this letter we study the problem of channel-aware decision fusion when the sensor detection probability is not known at the decision fusion center. Several alternatives proposed in the literature are compared and new fusion rules (namely “ideal sensors” and “locally-optimum detection”) are proposed, showing attractive performance and linear complexity. Simulations are provided to compare the performance of the aforementioned rules.
Authors: D. Ciuonzo, P. Salvo Rossi
Language: English
Open Access status: green
OpenAlex ID: W2041491816
FWCI: 7.635
Cites: 11
Cited by: 63
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