支持异步TDOA测量的确定性定位网络

doi:10.3969/j.issn.0372-2112.2019.10.001

电子学报 ›› 2019, Vol. 47 ›› Issue (10): 2017-2024.DOI: 10.3969/j.issn.0372-2112.2019.10.001

• 学术论文 • 下一篇

支持异步TDOA测量的确定性定位网络

薛塬, 苏伟, 王洪超, 杨冬

北京交通大学电子信息工程学院, 北京 100044

收稿日期:2017-12-18 修回日期:2019-04-25 出版日期:2019-10-25
- 作者简介:
- 薛塬男,1990年8月出生于山东临沂,北京交通大学博士研究生.目前主要研究方向为室内定位和工业传感器网络.E-mail:15111042@bjtu.edu.cn;苏伟男,1978年出生于河北景县,北京交通大学教授,博士生导师.目前主要研究方向为新一代信息网络关键理论与技术,主持或参与多项国家自然科学基金、863、973项目.E-mail:wsu@bjtu.edu.cn;王洪超 男,1982年12出生于河北衡水,北京交通大学副教授,硕士生导师.目前主要从事新一代信息网络理论与关键技术、工业互联网以及物联网的研究工作.E-mail:hcwang@bjtu.edu.cn;杨冬男,1980年12月出生于山西大同,北京交通大学教授,博士生导师.目前主要从事未来网络体系及关键技术、工业互联网和无线传感器网络的研究工作.E-mail:dyang@bjtu.edu.cn
- 基金资助:
- 中央高校基本科研业务费专项资金 (No.2018YJS308）; 国家自然科学基金 (No.61701018）

A Deterministic Localization Network for TDOA Measurement

XUE Yuan, SU Wei, WANG Hong-chao, YANG Dong

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Received:2017-12-18 Revised:2019-04-25 Online:2019-10-25 Published:2019-10-25
- Supported by:
- Fundamental Research Funds for the Central Universities (No.2018YJS308); National Natural Science Foundation of China (No.61701018)

摘要/Abstract

摘要： 在工业场景中，复杂无线环境对定位网络的影响导致定位存在实时可靠性差、精度低的问题.基于此，本文设计了在信标节点异步情况下支持TDOA（Time Difference-Of-Arrival）测量的确定性定位网络模型（ASync-DetNET），同时提出了适用于ASync-DetNET的节点感知模型和定位模型.通过简化了定位节点对数据信息的获取方式，合理调度通信资源，使得能够满足不同精度的定位需求，在保障定位精度的前提下，提高定位的实时可靠性.本文在实际搭建的面向复杂工业环境的UWB（Ultra-WideBand）室内定位系统中进行测试，结果表明文中方法能够在一定程度上提高了定位精度，保证定位的确定性.

关键词: 工业, 室内定位, 确定性网络, 实时性, 可靠性

Abstract: In the industrial environment, the influence of the complex wireless communication on the localization network leads to poor real-time reliability and low accuracy of localization. This paper proposes the deterministic localization network model for TDOA (time difference-of-arrival) measurement in the case of asynchronous anchor nodes called ASync-DetNET. After that, we propose the sensing model and localization model, which can adapt to ASync-DetNET. These models can simplify the way of obtaining data information, comply with various requirements of localization accuracy and guarantee the real-time reliability with reasonably communication resources scheduling. Subsequently, we implement a localization system with ultra-wideband signals for complicated environment and finally we estimate the influence of the ASync-DetNET on the localization. The experiments show that the proposed models can improve the accuracy of localization and guarantee the deterministic of localization.

Key words: industrial, indoor localization, deterministic network, real-time, reliability

中图分类号:

TP393

薛塬, 苏伟, 王洪超, 等. 支持异步TDOA测量的确定性定位网络[J]. 电子学报, 2019, 47(10): 2017-2024.

XUE Yuan, SU Wei, WANG Hong-chao, et al. A Deterministic Localization Network for TDOA Measurement[J]. Acta Electronica Sinica, 2019, 47(10): 2017-2024.

参考文献

[1] Li X,Li D,Wan J,et al.A review of industrial wireless networks in the context of Industry 4.0[J].Wireless Networks,2017,23(1):23-41.
[2] 钱志鸿,孙大洋,LEUNG Victor.无线网络定位综述[J].计算机学报,2016,39(6):1237-1256. QIAN Zhi-Hong,SUN Da-Yang,LEUNG Victor.A survey on localization model in wireless networks[J].Chinese Journal of Computers,2016,39(6):1237-1256.(in Chinese)
[3] Dwiyasa F,Lim M H.A survey of problems and approaches in wireless-based indoor positioning[A].International Conference on Indoor Positioning and Indoor Navigation[C].IEEE,2016.1-7.
[4] Tiemann J,Eckermann F,Wietfeld C.Multi-user interference and wireless clock synchronization in TDOA-based UWB localization[A].International Conference on Indoor Positioning and Indoor Navigation[C].IEEE,2016.1-6.
[5] Bogdani E,Vouyioukas D,Nomikos N,et al.Single-point model of MIMO-UWB indoor systems using time-reversal transmission[A].IEEE International Conference on Communications[C].IEEE,2017.1-6.
[6] Exel R,Gaderer G,Loschmidt P.Localisation of wireless LAN nodes using accurate TDoA measurements[A].Wireless Communications and NETWORKING Conference[C].IEEE,2010.1-6.
[7] Wang Z,Zeng P,Zhou M,et al.Cluster-based maximum consensus time synchronization for industrial wireless sensor networks[J].Sensors,2017,17(1):141.
[8] Canclini A,Antonacci F,Sarti A,et al.Acoustic source localization with distributed asynchronous microphone networks[J].IEEE Transactions on Audio Speech & Language Processing,2013,21(2):439-443.
[9] Spano D,Ricciato F.Opportunistic Time-of-Arrival localization in fully asynchronous wireless networks[J].Pervasive & Mobile Computing,2016.
[10] Kim S,Chong J W.An Efficient TDOA-Based Localization Algorithm Without Synchronization Between Base Stations[M].Taylor & Francis,Inc.2015.
[11] Pelka M,Hellbrück H.S-TDoA-Sequential time difference of arrival-A scalable and synchronization free approach for Positioning[A].Wireless Communications and NETWORKING Conference[C].IEEE,2016.
[12] Xu B,Sun G,Yu R,et al.High-accuracy TDOA-based localization without time synchronization[J].IEEE Transactions on Parallel & Distributed Systems,2013,24(8):1567-1576.
[13] Jin M,Xia S,Wu H,et al.Scalable and fully distributed localization in large-scale sensor networks[J].2017,6(2):15.
[14] Tsang K F,Gidlund M,Åkerberg J.Guest editorial industrial wireless networks:applications,challenges,and future directions[J].IEEE Transactions on Industrial Informatics,2016,12(2):755-757.
[15] Han G,Liu L,Jiang J,et al.Analysis of energy-efficient connected target coverage algorithms for industrial wireless sensor networks[J].IEEE Transactions on Industrial Informatics,2017,13(1):135-143.
[16] Yang D,Xu Y,Wang H,et al.Assignment of segmented slots enabling reliable real-time transmission in industrial wireless sensor networks[J].IEEE Transactions on Industrial Electronics,2015,62(6):3966-3977.
[17] Dobslaw F,Zhang T,Gidlund M.End-to-end reliability-aware scheduling for wireless sensor networks[J].IEEE Transactions on Industrial Informatics,2016,12(2):758-767.
[18] Wang W,Mosse D,Pickel J G,et al.Work-in-progress:cross-layer real-time scheduling for wireless control system[A].Real-Time and Embedded Technology and Applications Symposium[C].IEEE,2017.149-152.
[19] He S,Dong X.High-accuracy localization platform using asynchronous time difference of arrival technology[J].IEEE Transactions on Instrumentation & Measurement,2017,PP (99):1-15.
[20] Xue Y,Su W,Wang H C,et al.A model on indoor localization system based on the time difference without synchronization[J].IEEE ACCESS,2018,6:34179-34189.

支持异步TDOA测量的确定性定位网络

A Deterministic Localization Network for TDOA Measurement

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	贺军义, 吴梦翔, 宋成, 张敏, 张俊楠. 双目视觉辅助PDR的组合导航定位方法[J]. 电子学报, 2023, 51(3): 736-745.
[2]	许辰人, 马翔天, 徐昊天, 刘启瑞, 王诚科, 王雄, 高峰, 陈晓光, 孔令和. 5G抗干扰技术综述[J]. 电子学报, 2023, 51(3): 765-778.
[3]	胡向东, 吕高飞, 白银. 基于优化支持向量回归的工业互联网安全态势预测方法[J]. 电子学报, 2023, 51(2): 446-454.
[4]	赵静萌, 黄宁, 朱杰, 张欣. 多参数关联的机载系统空战业务可靠性评估方法[J]. 电子学报, 2022, 50(9): 2060-2067.
[5]	杨小龙, 李欣玥, 周牧, 王勇, 何维. 基于多维模糊映射AP优化的WLAN室内定位方法[J]. 电子学报, 2022, 50(8): 1875-1884.
[6]	胡向东, 李之涵. 基于胶囊网络的工业互联网入侵检测方法[J]. 电子学报, 2022, 50(6): 1457-1465.
[7]	苏林林, 陈亮, 陈菲菲, 周鑫, 焦振航, 刘钊良. 面向B5G/6G的GFDM信号高精度测距与定位研究[J]. 电子学报, 2022, 50(4): 849-859.
[8]	黄璐, 蔚保国, 李宏生, 李隽, 贾浩男, 程建强, 李雅宁. GNSS拒止环境下的伪卫星指纹定位方法[J]. 电子学报, 2022, 50(4): 811-822.
[9]	何维, 朱子越, 任彦, 谢良波, 田增山. 基于载波相位的RFID单站高精度定位算法[J]. 电子学报, 2022, 50(3): 672-680.
[10]	周刘飞, 邵贤杰, 陈旭, 王海宏, 王保平. 高可靠性InGaZnO薄膜晶体管集成栅极驱动电路的研究[J]. 电子学报, 2022, 50(12): 3014-3020.
[11]	刘公绪, 高新波, 何立火, 解宇, 路建民. 基于地磁与空间上下文信息的半解析定向方法[J]. 电子学报, 2022, 50(1): 116-123.
[12]	尚文利, 石贺, 赵剑明, 曾鹏. 基于SAE-LSTM的工艺数据异常检测方法[J]. 电子学报, 2021, 49(8): 1561-1568.
[13]	徐川, 胡渝, 韩珍珍, 熊郑英, 赵国锋. 基于链路效用的3D-VANET可靠路由算法[J]. 电子学报, 2021, 49(5): 872-878.
[14]	刘焕淋, 胡会霞, 马敬, 陈勇, 王展鹏. 光路可靠性和频谱整合因子感知的虚拟光网络生存性映射[J]. 电子学报, 2021, 49(4): 744-749.
[15]	田增山, 未平, 李泽, 周牧. 基于Wi-Fi的室内实时角度定位算法[J]. 电子学报, 2021, 49(2): 408-416.