[1]郭 青,柯 炜,唐万春,等.一种视距与非视距混合环境下RSS定位方法[J].南京师范大学学报(工程技术版),2017,17(04):071.[doi:10.3969/j.issn.1672-1292.2017.04.012]
 Guo Qing,Ke Wei,Tang Wanchun,et al.Research on the Positioning Technology of RSS in the MixedEnvironment of the Line of Sight and Non-line of Sight[J].Journal of Nanjing Normal University(Engineering and Technology),2017,17(04):071.[doi:10.3969/j.issn.1672-1292.2017.04.012]
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一种视距与非视距混合环境下RSS定位方法
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
17卷
期数:
2017年04期
页码:
071
栏目:
计算机工程
出版日期:
2017-12-30

文章信息/Info

Title:
Research on the Positioning Technology of RSS in the MixedEnvironment of the Line of Sight and Non-line of Sight
文章编号:
1672-1292(2017)04-0071-08
作者:
郭 青124柯 炜124唐万春124张雪英34盛业华34
(1.南京师范大学物理科学与技术学院,江苏 南京 210023)(2.南京师范大学江苏省光电技术重点实验室,江苏 南京 210023)(3.南京师范大学虚拟地理环境教育部重点实验室,江苏 南京 210023)(4.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023)
Author(s):
Guo Qing124Ke Wei124Tang Wanchun124Zhang Xueying34Sheng Yehua34
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Key Laboratory on Opto-electronics Technology,Nanjing Normal University,Nanjing 210023,China)(3.Key Laboratory of Virtual Geographic Environment of Ministry of
关键词:
视矩非视矩混合高斯模型DEM算法最佳几何精度衰减因子
Keywords:
LOSNLOSmixed Gauss modelDEM algorithmGDOP
分类号:
TN911
DOI:
10.3969/j.issn.1672-1292.2017.04.012
文献标志码:
A
摘要:
针对当前视距与非视距混合环境下无线定位精度不高且结果不太稳定问题,提出一种基于接收信号强度的动态定位方法. 该方法采用混合高斯模型来同时刻画视距与非视距传播的影响,克服了现有方法中视距与非视距传播识别的难题,并利用动态期望最大算法来实时调整模型参数,以适应环境的时变特性. 进一步,考虑到实际定位中测试位置几何关系对定位精度的影响,提出了基于最佳几何精度衰减因子组合的测试点选取方法. 仿真实验表明,在视距与非视距混合环境下该方法不仅具有较高的定位精度,而且能够适应环境的动态变化.
Abstract:
A dynamic positioning method based on the received signal strength(RSS)is proposed to solve the problem of low accuracy and low robustness of wireless location in the mixed environment of the line of sight(LOS)and non line of sight(NLOS). This method adopts a mixed Gauss model to describe the communicative effects of both the LOS and NLOS environment to overcome problem of identifying them existing in current methods. Morever,a dynamic expectation maximum(DEM)algorithm is presented for real-time adjust of the model parameters,which can be suitable for environment time-varying characteristics. Furthermore,considering the influence on locating accuracy caused by the geometric relation of test positions,a method of test points selection is proposed on the basis of geometric dilution of precision(GDOP). The simulation results show that the algorithm presented in this paper can not only have a high positioning accuracy,but also fit the dynamic changes of the environment.

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备注/Memo

备注/Memo:
收稿日期:2017-06-07.
基金项目:国家自然科学基金(61571232)、教育部高等学校博士学科点专项科研基金(20133207120007).
通讯联系人:柯炜,博士,副教授,研究方向:通信信号处理、无线定位. E-mail:wkykw@sina.com
更新日期/Last Update: 2017-12-30