基于场强地图的室内定位技术研究  

Research on Indoor Positioning Technology Based on Field Strength Map

作　　者：王韦刚[1] 周蓉 张云伟 李韬 Wang Weigang;Zhou Rong;Zhang Yunwei;Li Tao(Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区：[1]南京邮电大学,江苏南京210023

出　　处：《邮电设计技术》2020年第4期27-34,共8页Designing Techniques of Posts and Telecommunications

基　　金：国家自然科学基金(61271335,61605085,61571233,61871232);国家级实验教学示范中心项目(虚拟仿真201106)。

摘　　要：室内定位技术的发展,要求能提供快速建立、适应性强、成本低的定位系统。基于场强地图的室内定位技术,能大幅减少离线测试工作量。针对当前离线阶段存在预测场强不准的问题,提出了追踪共轭梯度法,能快速建立场强地图。在线阶段提出了加权差分坐标K最近邻法,结果表明该方法与传统方法相比,能使离线阶段的反演模型数据优化,使得在线阶段的定位匹配误差进一步减小,获得更高的定位精度。The development of indoor positioning technology requires the rapid establishment of a highly adaptable and low-cost positioning system. Based on constructing the field strength map and matching for positioning,the offline test workload can be greatly reduced. Aiming at the problem of predicting field strength inaccurate for the existing offline phase,in this paper,a pursuit conjugate gradient method is proposed based on the wave propagation model of the inversion model and the map can be build quickly. In the on-line phase,a weighted difference coordinate K-nearest neighbor method is proposed. Compared to the traditional methods,the experimental results show that our methods can optimize the inversion model data of the off-line phase,and make the established field strength map closer to the actual data. The results also show that the positioning matching error in the online stage is reduced,and the positioning accuracy is improved.

关 键 词：室内定位 反演模式 场强地图 追踪共轭梯度法 加权差分坐标K最近邻法 

分 类 号：TN929.5[电子电信—通信与信息系统]