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Affiliation of Author(s):理学院

Journal:2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC)

Key Words:RFID GA-BP neural network multi-tag dynamic test optimal geometric distribution

Abstract:One of the important advantages of RFID technology is to identify multiple targets at the same time. However, in order to identify multi-object at the same time, it is necessary to solve the problem of improving the performance of tag reading. Among the factors affecting the performance of tag identification, the geometric distribution of multi-tag is the key one. With the advantage of GA-BP neural network in optimization analysis, we do some researches about the impacts of the multi-tag's geometric distribution to the performance of reader. By training a large number of dynamic test data under the gate entrance environment, optimal RFID tag geometric distribution can be predicted by GA-BP neural network under the maximum or minimum reading distance. Furthermore, the dynamic reading performance of multi-tag system could be effectively improved.

Translation or Not:no

Date of Publication:2017-01-01

Co-author:周昱军,yuxiaolei,汪东华,庄笑,于银山

Correspondence Author:zzm