减轻环境和终端差异影响的无线定位方法

doi:10.11959/j.issn.1000-0801.2020006

电信科学 ›› 2020, Vol. 36 ›› Issue (1): 88-100.doi: 10.11959/j.issn.1000-0801.2020006

减轻环境和终端差异影响的无线定位方法

王结太^1,²,官友廉³,杨小牛²,骆振兴²,于剑标⁴

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

修回日期:2019-11-14 出版日期:2020-01-20 发布日期:2020-02-13
作者简介:王结太（1982- ），男，博士，嘉兴学院数理与信息工程学院副教授、通信信息控制和安全技术重点实验室工程师，主要研究方向为通信信号处理、无线传感器网络、无线定位等|官友廉（1982- ），男，75798部队工程师，主要研究方向为装备科研|杨小牛（1961- ），男，中国工程院院士，通信信息控制和安全技术重点实验室首席科学家、博士生导师，主要研究方向为软件无线电、通信信号处理、电子对抗|骆振兴（1983- ），男，通信信息控制和安全技术重点实验室高级工程师，主要研究方向为通信信号处理、电子对抗|于剑标（1982- ），男，江西信息应用职业技术学院副教授，主要研究方向为智能网络计算
基金资助:
国家自然科学基金资助项目(61572014);浙江省自然科学基金资助项目(LQ19A010005);浙江省自然科学基金资助项目(LY17F030020);浙江省自然科学基金资助项目(LQ15F010008);嘉兴市科技计划资助项目(2015AY11009);嘉兴市科技计划资助项目(2016AY13011)

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

Jietai WANG^1,²,Youlian GUAN³,Xiaoniu YANG²,Zhenxing LUO²,Jianbiao YU⁴

¹ Mathematics Physics and Information Engineering College,Jiaxing University,Jiaxing 314001,China
² Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033,China
³ 75798bd,Shantou 515062,China
⁴ Jiangxi Vocational and Technical College of Information Application,Nanchang 330043,China

Revised:2019-11-14 Online:2020-01-20 Published:2020-02-13
Supported by:
the Natural Science Foundation of China(61572014);Natural Science Foundation of Zhejiang Province of China(LQ19A010005);Natural Science Foundation of Zhejiang Province of China(LY17F030020);Natural Science Foundation of Zhejiang Province of China(LQ15F010008);Science and Technology Program of Jiaxing City of China(2015AY11009);Science and Technology Program of Jiaxing City of China(2016AY13011)

摘要/Abstract

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。

关键词: 无线定位, 环境多样性, 指纹, 无线传输模型

Abstract:

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 position-ing 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 parame-ters has little impact on the stability of the proposed algorithm.

Key words: wireless positioning, environment diveristy, fingerprint, wireless transmission model

中图分类号:

TP393

王结太,官友廉,杨小牛,骆振兴,于剑标. 减轻环境和终端差异影响的无线定位方法[J]. 电信科学, 2020, 36(1): 88-100.

Jietai WANG,Youlian GUAN,Xiaoniu YANG,Zhenxing LUO,Jianbiao YU. Wireless positioning methods for mitigating the influence of environmental and terminal diversity[J]. Telecommunications Science, 2020, 36(1): 88-100.

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参考文献 21

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环境	A/dBm	n
办公室	39.0~50.5	1.4~2.5
楼道走廊	35.0~38.2	1.9~2.5
巷子	44~48.7	2.1~3.0
公园	32.7~36.0	2.7~3.4
楼梯/阳台	33.5~44.2	1.4~2.4
海边沙滩	37.5~40.8	3.8~4.6
草地	33.2~36.4	3.0~3.9
竹林	35.2~38.2	4.5~5.4
石头墙	37.2~41.5	3.3~3.7
栅栏	34.5~38.2	4.6~5.1
大院子	34.2~39.0	2.8~3.8

算法	AOI识别成功率（全部）	AOI识别成功率（同型号终端）	AOI识别成功率（不同型号终端）	平均定位误差/m	平均定位时延/s
NRPA	非指纹方法未进行	非指纹方法未进行	非指纹方法未进行	3.62	1.32
Ratio＆Search	非指纹方法未进行	非指纹方法未进行	非指纹方法未进行	4.58	1.30
NFPA	91% （182/200）	95.7%（67/70）	88.5%（115/130）	3.79	1.72
HLF-Common	84.5% （169/200）	97.1%（68/70）	77.7%（101/130）	4.11	2.58

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

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