典型文献
An Improved Convolutional Neural Network Based Indoor Localization by Using Jenks Natural Breaks Algorithm
文献摘要：
With the rapid growth of the demand for indoor location-based services(LBS),Wi-Fi re-ceived signal strength(RSS)fingerprints database has attracted significant attention because it is easy to ob-tain.The fingerprints algorithm based on convolution neural network(CNN)is often used to improve in-door localization accuracy.However,the number of reference points used for position estimation has sig-nificant effects on the positioning accuracy.Mean-while,it is always selected arbitraily without any guid-ing standards.As a result,a novel location estima-tion method based on Jenks natural breaks algorithm(JNBA),which can adaptively choose more reasonable reference points,is proposed in this paper.The output of CNN is processed by JNBA,which can select the number of reference points according to different envi-ronments.Then,the location is estimated by weighted K-nearest neighbors(WKNN).Experimental results show that the proposed method has higher positioning accuracy without sacrificing more time cost than the existing indoor localization methods based on CNN.
文献关键词：
中图分类号：
作者姓名：
Chengjie Hou;Yaqin Xie;Zhizhong Zhang
作者机构：
School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing,China;School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing,China
文献出处：
引用格式：
[1]Chengjie Hou;Yaqin Xie;Zhizhong Zhang-.An Improved Convolutional Neural Network Based Indoor Localization by Using Jenks Natural Breaks Algorithm)[J].中国通信（英文版）,2022(04):291-301
A类：
arbitraily,JNBA
B类：
An,Improved,Convolutional,Neural,Network,Based,Indoor,Localization,by,Using,Jenks,Natural,Breaks,Algorithm,With,rapid,growth,demand,indoor,location,services,LBS,Fi,ceived,signal,strength,RSS,fingerprints,database,has,attracted,significant,attention,because,easy,ob,tain,algorithm,convolution,neural,network,often,used,improve,localization,accuracy,However,number,reference,points,estimation,effects,positioning,Mean,while,always,selected,without,any,guid,standards,novel,natural,breaks,which,adaptively,choose,more,reasonable,proposed,this,paper,output,processed,according,different,envi,ronments,Then,estimated,weighted,nearest,neighbors,WKNN,Experimental,results,show,that,higher,sacrificing,cost,than,existing,methods
AB值：
0.586143
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
