基于RSSI信号特征的室内分区指纹定位算法  

Indoor clustering fingerprint localization algorithm based on RSSI signal characteristics

作　　者：高思远 冯秀芳 GAO Si-yuan;FENG Xiu-fang(College of Information and Computer,Taiyuan University of Technology,Jinzhong 030600,China)

机构地区：[1]太原理工大学信息与计算机学院,山西晋中030600

出　　处：《计算机工程与设计》2020年第4期1093-1098,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(61472272)。

摘　　要：为提高室内定位精度和算法效率,提出基于RSSI信号特征的分区指纹定位算法。在离线阶段,区别于传统的使用RSSI信号构建离线指纹库的方法,设计使用RSSI信号衰减率建立离线指纹库;在在线定位阶段,针对使用欧式距离进行相似度计算时,容易出现两个点RSSI信号欧式距离较近而物理距离较远的情况,提出使用RSSI信号衰减率进行子区域划分,引入SSD的思想使用二级指纹进行精确定位。通过实验验证了该算法的适应性与有效性。To improve the indoor positioning accuracy and the algorithm efficiency,a partition fingerprint localization algorithm based on RSSI signal characteristics was proposed.In the offline phase,different from the traditional method of constructing offline fingerprint database,the RSSI signal attenuation rate of the reference point was used to construct offline fingerprint database.In the online positioning phase,when the similarity calculation is performed using the Euclidean distance,it is easy to appear that the two-point RSSI signal is close to European distance and the physical distance is far.The RSSI signal attenuation rate was then used for sub-area division.At the same time,the idea of introducing SSD used secondary fingerprint for precise positioning.The adaptability and effectiveness of the algorithm were verified by experiments.

关 键 词：室内定位 接收信号强度指示 支持向量机 信号衰减率 指纹库 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]