Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks

Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks

Decision fusion for distributed detection in sensor networks under non-ideal channels is investigated in this paper. Usually, the local decisions are transmitted to the fusion center (FC) and decoded, and a fusion rule is then applied to achieve a global decision. We propose an optimal likelihood ra...

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Bibliographic Details
Main Authors: Yongsheng Yan, Haiyan Wang, Xiaohong Shen, Xionghu Zhong
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Sensors
Subjects:
decision fusion
channel errors
average bit error rate
likelihood ratio test
decode-then-fuse
sensor networks
Online Access:http://www.mdpi.com/1424-8220/15/8/19157

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