Datafusion method of multi-sensor target recognition in complex environment

被引：0

作者：

Lu L. ^{[1
]}

Zhang X. ^{[2
]}

机构：

[1] School ofComputer Science and Engineering, Xi'an Technological University, Xi'an

[2] School of Electronic and Information Engineering, Xi'an Technological University, Xi'an

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2020年 / 47卷 / 04期

关键词：

Consistency; Current weight; Data fusion; Discrete factor; Multi-sensor;

D O I：

10.19665/j.issn1001-2400.2020.04.005

中图分类号：

学科分类号：

摘要：

In the complex battlefield environment, the uncertainty of target information causes the target recognition difficulty and misjudgment, which brings about the problem of a low accuracy of target recognition results. This paper proposes a data fusion method for multi-sensor target recognition based on the discrete factor, which can give rise to the output data of the multi-sensor at the multi-period and multi-regions detection, and bring about the discrete factor of obtaining target characteristic corresponding sensors. It can provide the current weight of multi-sensor target recognition according to the discrete factor, establish the relative consistency and the relative weighted consistency function of multi-sensor target recognition, combine the current weight of multi-sensor target recognition and the related consistency function, and construct the data fusion result support calculation model of multi-sensor target recognition. Experimental results show that when the environment is complex, the data fusion method for multi-sensor target recognition based on the discrete factor has more accurate target recognition results, which conforms to the reality in comparison with the data fusion method for target recognition with a given sensor weight in advance. It is shown that the method proposed in this paper is more reliable and has a certain anti-interference ability. © 2020, The Editorial Board of Journal of Xidian University. All right reserved.

引用

页码：31 / 38

页数：7

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