MATEC Web Conf.
Volume 128, 20172017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)
|Number of page(s)||3|
|Section||Simulation Model and Algorithm|
|Published online||25 October 2017|
Method of multi-sensor data Association based on large scale
No.4 Department, Air Force Early Warning Academy, Wuhan 430019, China
a LAN Xu-hui: firstname.lastname@example.org
In the multi-sensor fusion system, great difference of detection information accuracy results high uncertainty of heterogeneous information correlation. This paper proposes a multi-sensor data correlation method basing on large scale which combines evidence theory and multi-factor fuzzy integrated decision theory in information correlation. For solving the problem of uncertainty of information correlation and obtaining evidence difficultly, the method first combines uncertain information evidence, and then obtains evidence from multi-factor fuzzy integrated decision membership degree function. The test results that heterogeneous information correlation using this method can conquer uncertainty of evidence combination and reduce the error and miss correlation rate.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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