乐志伟,王浩,谢小军.基于RSSI障碍势能矫正的定位算法[J].电子测量与仪器学报,2017,31(2):200-207
基于RSSI障碍势能矫正的定位算法
Localization algorithm based on RSSI obstacles potential energy correction
  
DOI:10.13382/j.jemi.2017.02.006
中文关键词:  RSSI测距  室内定位  障碍物  加权质心法  定位精度
英文关键词:RSSI ranging  indoor positioning  obstacles  weighted centroid algorithm  positioning accuracy
基金项目:国家自然科学基金(61175033)资助项目
作者单位
乐志伟 合肥工业大学计算机与信息学院合肥230009 
王浩 合肥工业大学计算机与信息学院合肥230009 
谢小军 国家电网安徽省电力公司信息通信分公司合肥230061 
AuthorInstitution
Le Zhiwei Computer Science and Technology, Hefei University of Technology, Hefei 230009, China 
Wang Hao Computer Science and Technology, Hefei University of Technology, Hefei 230009, China 
Xie Xiaojun Information communications branch of Anhui Electric Power Company, State Grid, Hefei 230061, China 
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中文摘要:
      针对因障碍物较多而导致基于RSSI测距的室内定位算法精度较低的问题,提出采用基于RSSI测距与非测距结合定位算法的思想,在基于RSSI测距的原定位算法计算结果的基础上,引入室内障碍物对信号传播干扰的特征信息作参考,修正原定位算法中测得的阅读器到信号源的距离矢量;同时考虑到障碍物与信号源的相对位置关系,采用基于障碍势能的加权质心定位算法,迭代矫正定位结果。相较原定位算法结果而言其定位精度提高了近50%。
英文摘要:
      Aiming at the problem that the accuracy of localization algorithm based on RSSI ranging of indoor positioning is low due to the obstructions indoor, this paper proposes new localization algorithm based on distance ranging and non ranging. Based on the results using the original positioning algorithm based on RSSI ranging, it corrected the distance vector from signal reader to signal source, which was calculated by original location algorithm, and the characteristic information on the interference of the room internal barrier was imported to the signal propagation and took it as reference. Considering the relationship between the obstacle and the position of the label, it also corrected the positioning result by improving weighted centroid location algorithm based on potential obstacles iterations. The positioning accuracy of the method is increased by 50% compared to the method of scheduled, in which the influences of the information of obstacles is not consider.
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