Optimization Analysis of Distribution of RFID Multi-tag based on GA-BP Neural Network
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-tags 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.
RFID GA-BP neural network multi-tag dynamic test optimal geometric distribution
Yujun Zhou Xiaolei Yu Donghua Wang Zhimin Zhao Xiao Zhuang Yinshan Yu
College of Science Nanjing University of Aeronautics and Astronautics Nanjing,China Jiangsu Institute of Quality and Standardization Nanjing,China
国际会议
重庆
英文
850-854
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）