减轻环境和终端差异影响的无线定位方法  

Wireless positioning methods for mitigating the influence of environmental and terminal diversity

作　　者：王结太[1,2] 官友廉 杨小牛 骆振兴 于剑标 WANG Jietai;GUAN Youlian;YANG Xiaoniu;LUO Zhenxing;YU Jianbiao(Mathematics Physics and Information Engineering College,Jiaxing University,Jiaxing 314001,China;Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033,China;75798bd,Shantou 515062,China;Jiangxi Vocational and Technical College of Information Application,Nanchang 330043,China)

机构地区：[1]嘉兴学院数理与信息工程学院,浙江嘉兴314001 [2]通信信息控制和安全技术重点实验室,浙江嘉兴314033 [3]75798部队,广东汕头515062 [4]江西信息应用职业技术学院,江西南昌330043

出　　处：《电信科学》2020年第1期88-100,共13页Telecommunications Science

基　　金：国家自然科学基金资助项目（No.61572014）;浙江省自然科学基金资助项目（No.LQ19A010005,No.LY17F030020,No.LQ15F010008）;嘉兴市科技计划资助项目(No.2015AY11009,No.2016AY13011)~~

摘　　要：针对传统的基于测距和基于指纹的两大类算法,分别提出了优化方法,减轻或规避了环境参数对定位结果的影响,并通过仿真和实际场景实验进行了比较,比较对象包括传统的基准算法以及近期的相似工作。实验结果表明了算法的有效性,与传统的基准算法相比,定位精度提高了70%左右,与近期相似工作相比,定位精度也提高了20%左右,同时,环境参数的变化对提出算法的稳定性影响很小。Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the positioning results and compared traditional benchmark algorithms and recent similar work through simulation and actual scene experiments.The experimental results show the effectiveness of the algorithms:compared with the traditional benchmark algorithms,the positioning accuracy is improved by about 70%,compared with the recent similar work,the positioning accuracy is also improved by about 20%,at the same time,the change of the environmental parameters has little impact on the stability of the proposed algorithm.

关 键 词：无线定位 环境多样性 指纹 无线传输模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]