典型文献
Improved adaptive genetic algorithm based RFID positioning
文献摘要：
The existing active tag-based radio frequency identi-fication (RFID) localization techniques show low accuracy in practical applications. To address such problems, we propose a chaotic adaptive genetic algorithm to align the passive tag ar-rays. We use chaotic sequences to generate the intersection points, the weakest single point intersection is used to ensure the convergence accuracy of the algorithm while avoiding the optimization jitter problem. Meanwhile, to avoid the problem of slow convergence and immature convergence of the algorithm caused by the weakening of individual competition at a later stage, we use adaptive rate of change to improve the optimiza-tion efficiency. In addition, to remove signal noise and outliers, we preprocess the data using Gaussian filtering. Experimental results demonstrate that the proposed algorithm achieves high-er localization accuracy and improves the convergence speed.
文献关键词：
中图分类号：
作者姓名：
LI Yu;WU Honglan;SUN Youchao
作者机构：
Civil Aviation College,Nanjing University of Aeronautics and Astronautics,Nanjing 211100,China
文献出处：
引用格式：
[1]LI Yu;WU Honglan;SUN Youchao-.Improved adaptive genetic algorithm based RFID positioning)[J].系统工程与电子技术（英文版）,2022(02):305-311
A类：
B类：
Improved,adaptive,genetic,algorithm,RFID,positioning,existing,active,radio,frequency,identi,fication,localization,techniques,show,accuracy,practical,applications,To,address,such,problems,chaotic,align,passive,ar,rays,We,sequences,generate,intersection,points,weakest,single,ensure,convergence,avoiding,optimization,jitter,Meanwhile,slow,immature,caused,by,weakening,individual,competition,later,stage,change,efficiency,In,addition,remove,signal,noise,outliers,preprocess,data,using,Gaussian,filtering,Experimental,results,demonstrate,that,proposed,achieves,high,improves,speed
AB值：
0.592417
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