NDLI: Multi-Infrared Sensors Data Fusion Algorithm on Four Unit Photoelectric Sensors Detection System

Content Provider	Semantic Scholar
Author	Lei, Bingshan
Copyright Year	2016
Abstract	In order to improve the identification rate of deceptive target of multi infrared photoelectric sensor positioning system, this paper proposes the fusion method based on Fuzzy Data Association. Using correlation recognition method of multiple sensors, a reasonable judgment criterion and decision-making concept was obtained. With the research of D-S joint rule algorithm, the diagnostic model of multi infrared photoelectric sensor is established and then the method to obtain the reliability function was given in this paper according to the spatial geometry relationship of four photoelectric sensors; presented the reasonable judgment criterion and decisionmaking concept of target authenticity identification on D-S data fusion algorithm. The experimental results demonstrate that the D-S joint rule algorithm can effectively identify the deceptive targets. Especially, the identification rate reached to 98% in the condition of high contrast.
File Format	PDF HTM / HTML
DOI	10.21311/001.39.6.35
Alternate Webpage(s)	http://tjfeonline.com/admin/archive/3502.09.20161472820391.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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