DocumentCode
26441
Title
Decision Fusion With Unknown Sensor Detection Probability
Author
Ciuonzo, Domenico ; Salvo Rossi, Pierluigi
Author_Institution
Dept. of Ind. & Inf. Eng., Second Univ. of Naples, Naples, Italy
Volume
21
Issue
2
fYear
2014
fDate
Feb. 2014
Firstpage
208
Lastpage
212
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.
Keywords
probability; sensor fusion; wireless sensor networks; channel-aware decision fusion; decision fusion center; ideal sensors; linear complexity; locally-optimum detection; unknown sensor detection probability; Complexity theory; Maximum likelihood estimation; Probability density function; Sensors; Signal to noise ratio; Wireless communication; Wireless sensor networks; Decentralized detection; decision fusion; locally-optimum detection (LOD); wireless sensor networks (WSNs);
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2013.2295054
Filename
6684312
Link To Document