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基于改进克里金插值的室内定位位置指纹库构建方法
引用本文:刘辉元,马金辉,黄琼.基于改进克里金插值的室内定位位置指纹库构建方法[J].重庆邮电大学学报(自然科学版),2017,29(6):751-757.
作者姓名:刘辉元  马金辉  黄琼
作者单位:1. 重庆市工业学校网络信息中心,重庆400043;重庆邮电大学移动通信技术重点实验室,重庆400065;2. 重庆邮电大学移动通信技术重点实验室,重庆,400065
基金项目:重庆市科委重点产业共性关键技术创新专项(cstc2015zdcy-ztzx40008)
摘    要:当今社会对基于位置服务尤其是室内位置服务的需求日益迫切.位置指纹法利用室内无线信号强度来进行定位,具有方便快捷、低成本等优势,但构建一个细粒度的位置指纹库需要耗费大量的人力和时间.为提高位置指纹库的构建效率,提出一种基于改进克里金插值的位置指纹库构建方法.通过部分测量数据结合克里金插值法进行插值,并利用模拟退火算法提高理论变异函数拟合精度,进而估计出未测量点处的信号强度,提高插值精度和指纹库的构建效率.实验表明:相比反距离加权插值和传统克里金插值,该方法不但具有较高插值和定位精度,而且可将指纹数据人工采集工作量降低50%.

关 键 词:室内定位  位置指纹  克里金插值  模拟退火算法
收稿时间:2017/5/4 0:00:00
修稿时间:2017/9/30 0:00:00

Construction method of fingerprint database based on improved Kriging interpolation for indoor location
LIU Huiyuan,MA Jinhui and HUANG Qiong.Construction method of fingerprint database based on improved Kriging interpolation for indoor location[J].Journal of Chongqing University of Posts and Telecommunications,2017,29(6):751-757.
Authors:LIU Huiyuan  MA Jinhui and HUANG Qiong
Institution:Network Information Center, Chongqing Industry School, Chongqing 400043, P.R. China; Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China and Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China
Abstract:In today's society,the demand for location-based services,especially indoor location services,is becoming more and more urgent.Using the indoor wireless signal intensity to locate,the location fingerprint method has the advantages of convenience,low cost,and so on.But it will take a lot of manpower and time to build a fine-grained fingerprint database.In order to improve the efficiency,this paper proposes a method for constructing the database based on improved Kriging interpolation.The simulated annealing algorithm is used to improve the theoretical variogram fitting accuracy,and then the signal strength at the unmeasured points is estimated with measurement data.Compared with the inverse distance weighted interpolation and traditional Kriging interpolation,experimental results show that this method can not only effectively improve the construction efficiency and precision of interpolation fingerprint database,but also reduce the artificial workload of fingerprint data acquisition by 50%.
Keywords:indoor location  location fingerprint  Kriging interpolation  simulated annealing algorithm
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