基于RSSI的指纹法与几何法联合的室内无源感知定位  

Indoor device-free passive localization integrating fingerprinting method and geometric method based on RSSI

作　　者：孙鹏程 胡艳军[1] 王翊 SUN Pengcheng;HU Yanjun;WANG Yi(Key Laboratory of Computational Intelligence and Signal Processing,Ministry of Education,Anhui University,Hefei 230601,China;Key Laboratory of Wireless Sensor Network&Communication,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai 200050,China)

机构地区：[1]安徽大学计算智能与信号处理教育部重点实验室,安徽合肥230601 [2]中国科学院上海微系统与信息技术研究所无线传感网与通信重点实验室,上海200050

出　　处：《安徽大学学报（自然科学版）》2020年第2期43-50,共8页Journal of Anhui University(Natural Science Edition)

基　　金：中国科学院无线传感网与通信重点实验室开放课题(20190911);安徽省高校自然科学研究重大项目(KJ2017ZD03);安徽省高校自然科学研究重点项目(KJ2018A0019)。

摘　　要：提出基于斯皮尔曼相关系数的指纹法,具有非空间属性的指纹向量间的相似度可用该指纹法进行比较.在指纹法和几何法基础上,提出一种基于RSSI的指纹法与几何法联合的室内无源感知定位方法(F&G法).仿真结果表明,相对指纹法和几何法,F&G法能提高定位精度.The fingerprinting method based on the spearman correlation coefficient was proposed and similarity between fingerprint vectors with non-spatial attributes could be compared using this improved method.Based on fingerprinting method and geometric method,the indoor device-free passive localization algorithm(F&G method)integrating fingerprinting method and geometric method based on RSSI was proposed.The simulation results showed that the F&G method improved the positioning accuracy compared with the fingerprinting method and geometric method.

关 键 词：指纹法 几何法 RSSI 无源感知定位 F&G法 

分 类 号：TN99[电子电信—信号与信息处理]