Next Article in Journal
MPH-M, AODV-M and DSR-M Performance Evaluation under Jamming Attacks
Next Article in Special Issue
Online Denoising Based on the Second-Order Adaptive Statistics Model
Previous Article in Journal
Multiport Circular Polarized RFID-Tag Antenna for UHF Sensor Applications
Previous Article in Special Issue
Multisensor Parallel Largest Ellipsoid Distributed Data Fusion with Unknown Cross-Covariances
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(7), 1575;

A Reliability-Based Method to Sensor Data Fusion

School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Author to whom correspondence should be addressed.
Received: 21 May 2017 / Revised: 1 July 2017 / Accepted: 3 July 2017 / Published: 5 July 2017
Full-Text   |   PDF [1264 KB, uploaded 5 July 2017]   |  


Multi-sensor data fusion technology based on Dempster–Shafer evidence theory is widely applied in many fields. However, how to determine basic belief assignment (BBA) is still an open issue. The existing BBA methods pay more attention to the uncertainty of information, but do not simultaneously consider the reliability of information sources. Real-world information is not only uncertain, but also partially reliable. Thus, uncertainty and partial reliability are strongly associated with each other. To take into account this fact, a new method to represent BBAs along with their associated reliabilities is proposed in this paper, which is named reliability-based BBA. Several examples are carried out to show the validity of the proposed method. View Full-Text
Keywords: sensor data fusion; Dempster–Shafer evidence theory; Gaussian distribution; reliability-based BBA sensor data fusion; Dempster–Shafer evidence theory; Gaussian distribution; reliability-based BBA

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Jiang, W.; Zhuang, M.; Xie, C. A Reliability-Based Method to Sensor Data Fusion. Sensors 2017, 17, 1575.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top