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Principle and future trends of indoor positioning in 6G
- Telecommunications Science Vol. 37, Issue 6, Pages: 91-104(2021)
- 作者机构：
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.1000-0801.2021118
CLC： TN929.5-
Published Online：2021-06，
Published：20 June 2021
- 稿件说明：
移动端阅览
Xiaoyang WAN, Yaohua SUN, Zeyu WANG. Principle and future trends of indoor positioning in 6G[J]. Telecommunications science, 2021, 37(6): 91-104.
Xiaoyang WAN, Yaohua SUN, Zeyu WANG. Principle and future trends of indoor positioning in 6G[J]. Telecommunications science, 2021, 37(6): 91-104. DOI： 10.11959/j.issn.1000-0801.2021118.
摘要
为更好地支撑基于位置的差异化服务，6G移动通信对室内定位精度提出了更高要求。首先从单一定位技术入手，介绍了现有室内定位技术的原理、特点及优劣势。随后，针对单一定位技术的不足，进一步讨论了基于多技术融合的室内定位系统。此外，介绍了基于多网络/多设备的协作定位系统进展，归纳并分析了集中式协作定位系统与分布式协作定位系统的常见架构。最后，指出了6G室内定位技术的发展机遇与挑战。
Abstract
For supporting location based differentiated services better
6G has a more stringent requirement on high-precision positioning.Firstly
the principles
characteristics
advantages and disadvantages of the existing indoor positioning techniques were introduced.Then
indoor positioning systems integrating multiple techniques were discussed to overcome the drawbacks of using only a single technique.Moreover
the advances in cooperative positioning systems involving multi-devices and multi-networks were presented with the summary and analysis of centralized and distributed implementation architectures.Finally
the opportunities and challenges faced by 6G indoor positioning were pointed out.
关键词
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references
项弘禹 , 肖扬文 , 张贤 , 等 . 5G边缘计算和网络切片技术 [J ] . 电信科学 , 2017 , 33 ( 6 ): 54 - 63 .
XIANG H Y , XIAO Y W , ZHANG X , et al . Edge computing and network slicing technology in 5G [J ] . Telecommunications Science , 2017 , 33 ( 6 ): 54 - 63 .
聂凯君 , 曹傧 , 彭木根 . 6G内生安全:区块链技术 [J ] . 电信科学 , 2020 , 36 ( 1 ): 21 - 27 .
NIE K J , CAO B , PENG M G . 6G endogenous security:blockchain technology [J ] . Telecommunications Science , 2020 , 36 ( 1 ): 21 - 27 .
张彤 , 任奕璟 , 闫实 , 等 . 人工智能驱动的6G网络：智慧内生 [J ] . 电信科学 , 2020 , 36 ( 9 ): 14 - 22 .
ZHANG T , REN Y J , YAN S , et al . Artificial intelligence driven 6G networks:endogenous intelligence [J ] . Telecommunications Science , 2020 , 36 ( 9 ): 14 - 22 .
SUN Y H , PENG M G , MAO S W . Deep reinforcement learning-based mode selection and resource management for green fog radio access networks [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 1960 - 1971 .
尹博南 , 艾元 , 彭木根 . 雾无线接入网:架构、原理和挑战 [J ] . 电信科学 , 2016 , 32 ( 6 ): 20 - 27 .
YIN B N , AI Y , PENG M G . Fog computing based radio access networks:architecture,principles and challenges [J ] . Telecommunications Science , 2016 , 32 ( 6 ): 20 - 27 .
彭木根 , 孙耀华 , 王文博 . 智简6G无线接入网:架构、技术和展望 [J ] . 北京邮电大学学报 , 2020 , 43 ( 3 ): 1 - 10 .
PENG M G , SUN Y H , WANG W B . Intelligent-concise radio access networks in 6G:architecture,techniques and insight [J ] . Journal of Beijing University of Posts and Telecommunications , 2020 , 43 ( 3 ): 1 - 10 .
刘杨 , 李珺 , 陈文韵 , 等 . 面向6G的雾无线接入网内生安全数据共享机制研究 [J ] . 通信学报 , 2021 , 42 ( 1 ): 67 - 78 .
LIU Y , LI J , CHEN W Y , et al . Research on endogenous security data sharing mechanism of F-RAN for 6G [J ] . Journal on Communications , 2021 , 42 ( 1 ): 67 - 78 .
LATVA-AHO M , LEPPÄNEN K , CLAZZER F , et al . Key drivers and research challenges for 6G ubiquitous wireless intelligence [Z ] . 2020 .
Indoor Atlas . The rise of indoor positioning-a 2016 global research report on the indoor positioning market [R ] . 2016 .
Market and Markets Indoor location market by component (technology,software tools,and services),deployment mode (cloud,and on-premises),application,vertical (transportation,hospitality,entertainment,retail,and public buildings),and region - global forecast to2022 [R ] . 2020 .
NI L M , LIU Y H , LAU Y C , et al . LANDMARC:indoor location sensing using active RFID [C ] // Proceedings of the First IEEE International Conference on Pervasive Computing and Communications,2003.(PerCom 2003) . Piscataway:IEEE Press , 2003 : 407 - 415 .
YANG L , CHEN Y K , LI X Y , et al . Tagoram:real-time tracking of mobile RFID tags to high precision using COTS devices [C ] // Proceedings of the 20th Annual International Conference on Mobile Computing and Networking . New York:ACM Press , 2014 : 237 - 248 .
KHEDIRI S E , NASRI N , SAMET M , et al . Analysis study of time synchronization protocols in wireless sensor networks [J ] . International Journal of Distributed ＆ Parallel Systems , 2012 , 3 ( 3 ): 155 - 165 .
WANG A Y , SONG Y . Improved SDS-TWR ranging technology in UWB positioning [C ] // Proceedings of 2018 International Conference on Sensor Networks and Signal Processing (SNSP) . Piscataway:IEEE Press , 2018 : 222 - 225 .
ZHANG R , HÖFLINGER F ,, REINDL L . TDOA-based localization using interacting multiple model estimator and ultrasonic transmitter/receiver [J ] . IEEE Transactions on Instrumentation and Measurement , 2013 , 62 ( 8 ): 2205 - 2214 .
HLAING Y , MAUNG N A M . An enhanced time-based wireless indoor localization using synchronized TDoA technique [C ] // Proceedings of 2019 16th International Conference on Electrical Engineering/Electronics,Computer,Telecommunications and Information Technology (ECTI-CON) . Piscataway:IEEE Press , 2019 : 693 - 696 .
VECCHIA D , CORBALÁN P ,, ISTOMIN T , et al . TALLA:large-scale TDoA localization with ultra-wideband radios [C ] // Proceedings of 2019 International Conference on In door Positioning and Indoor Navigation (IPIN) . Piscataway:IEEE Press , 2019 : 1 - 8 .
程建强 , 杜丹 , 周云 , 等 . 基于多阵元的室内伪卫星几何布局研究 [J ] . 无线电工程 , 2020 , 50 ( 9 ): 762 - 768 .
CHENG J Q , DU D , ZHOU Y , et al . Research on geometric layout of indoor pseudo-satellite based on multiple array elements [J ] . Radio Engineering , 2020 , 50 ( 9 ): 762 - 768 .
GAN X L , YU B G , HENG Z , et al . Indoor combination positioning technology of Pseudolites and PDR [C ] // Proceedings of 2018 Ubiquitous Positioning,Indoor Navigation and Location-Based Services (UPINLBS) . Piscataway:IEEE Press , 2018 : 1 - 7 .
WAN C C , HAN F Y , LIU P F , et al . iLoc:non-invasive localization for mobile devices with COTS Wi-Fi access points [C ] // Proceedings of 2020 6th International Conference on Big Data Computing and Communications (BIGCOM) . Piscataway:IEEE Press , 2020 : 24 - 32 .
ZHENG Y , SHENG M , LIU J Y , et al . Exploiting AoA estimation accuracy for indoor localization:a weighted AoA-based approach [J ] . IEEE Wireless Communications Letters , 2019 , 8 ( 1 ): 65 - 68 .
GJENGSET J , XIONG J , MCPHILLIPS G , et al . Phaser:enabling phased array signal processing on commodity Wi-Fi access points [C ] // Proceedings of the 20th Annual International Conference on Mobile Computing and Networking . New York:ACM Press , 2014 : 153 - 164 .
AHMED A , ARABLOUEI R , HOOG F , et al . Estimating angle-of-arrival and time-of-flight for multipath components using Wi-Fi channel state information [J ] . Sensors , 2018 , 18 ( 6 ): 1753 .
JOVICICA . Qualcomm lumicast:a high accuracy indoor positioning system based on visible light communication [Z ] . 2016 .
亢璐 . 基于Wi-Fi指纹与PDR融合的室内定位算法研究 [D ] . 武汉:华中科技大学 , 2019 .
KANG L . Research on indoor positioning based on fusion of Wi-Fi fingerprint and PDR [D ] . Wuhan:Huazhong University of Science and Technology , 2019 .
WANG Q , LUO H Y , ZHAO F , et al . An indoor self-localization algorithm using the calibration of the online magnetic fingerprints and indoor landmarks [C ] // Proceedings of 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN) . Piscataway:IEEE Press , 2016 : 1 - 8 .
WANG Q , LUO H Y , XIONG H , et al . Pedestrian dead reckoning based on walking pattern recognition and online magnetic fingerprint trajectory calibration [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 3 ): 2011 - 2026 .
HE S N , CHAN S H G . Wi-Fi fingerprint-based indoor positioning:recent advances and comparisons [J ] . IEEE Communications Surveys ＆ Tutorials , 2016 , 18 ( 1 ): 466 - 490 .
田野 , 陈宏巍 , 王法胜 , 等 . 室内移动机器人的 SLAM 算法综述 [J ] . 计算机科学 , 2021 : 1 - 26 .
TIAN Y , CHEN H W , WANG F S , et al . Overview of SLAM algorithms for mobile robots [J ] . Computer Science , 2021 : 1 - 26 .
JANG B , KIM H . Indoor positioning technologies without offline fingerprinting map:a survey [J ] . IEEE Communications Surveys ＆ Tutorials , 2019 , 21 ( 1 ): 508 - 525 .
SHEN G , CHEN Z , ZHANG P , et al . Walkie-Markie:Indoor pathway mapping made easy [C ] // Proceedings of 10th {USENIX} Symposium on Networked Systems Design and Implementation .[S.l.:s.n. ] , 2013 : 85 - 98 .
HE Y , LIANG J Q , LIU Y H . Pervasive floorplan generation based on only inertial sensing:feasibility,design,and implementation [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 5 ): 1132 - 1140 .
LI C L , TROGH J , PLETS D , et al . CRLB-based positioning performance of indoor hybrid AoA/RSS/ToF localization [C ] // Proceedings of 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN) . Piscataway:IEEE Press , 2019 : 1 - 6 .
CULLEN G , CURRAN K , SANTOS J , et al . CAPTURE - Extending the scope of self-localization in Indoor Positioning Systems [C ] // Proceedings of 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN) . Piscataway:IEEE Press , 2015 : 1 - 10 .
VAGHEFI R M , BUEHRER R M . Cooperative source node tracking in non-line-of-sight environments [J ] . IEEE Transactions on Mobile Computing , 2017 , 16 ( 5 ): 1287 - 1299 .
ZHU X Q , QU W , QIU T , et al . Indoor intelligent fingerprint-based localization:principles,approaches and challenges [J ] . IEEE Communications Surveys ＆ Tutorials , 2020 , 22 ( 4 ): 2634 - 2657 .
LI X S , SHAO Y R , ZHAO F D . An indoor positioning approach using smartphone based on PDR and EKF [C ] // Proceedings of 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) . Piscataway:IEEE Press , 2020 : 182 - 187 .
QIU C , MUTKA M W . Cooperation among smartphones to improve indoor position information [C ] // Proceedings of 2015 IEEE 16th International Symposium on A World of Wireless,Mobile and Multimedia Networks (WoWMoM) . Piscataway:IEEE Press , 2015 : 1 - 9 .
EL-ABSI M , ALHAJ ABBAS A , ABUELHAIJA A , et al . High-accuracy indoor localization based on chipless RFID systems at THz band [J ] . IEEE Access , 2018 ( 6 ): 54355 - 54368 .
FAN S K , WU Y Z , HAN C , et al . A structured bidirectional LSTM deep learning method for 3D terahertz indoor localization [C ] // Proceedings of IEEE InfoCOM 2020 - IEEE Conference on Computer Communications . Piscataway:IEEE Press , 2020 : 2381 - 2390 .
GARCIA N , WYMEERSCH H , LARSSON E G , et al . Direct localization for massive MIMO [J ] . IEEE Transactions on Signal Processing , 2017 , 65 ( 10 ): 2475 - 2487 .
LIN Z P , LV T , MATHIOPOULOS P T . 3-D indoor positioning for millimeter-wave massive MIMO systems [J ] . IEEE Transactions on Communications , 2018 , 66 ( 6 ): 2472 - 2486 .
MA T , XIAO Y , LEI X , et al . Indoor localization with reconfigurable intelligent surface [J ] . IEEE Communications Letters , 2021 , 25 ( 1 ): 161 - 165 .
SARIEDDEEN H , SAEED N , AL-NAFFOURI T Y , et al . Next generation terahertz communications:a rendezvous of sensing,imaging,and localization [J ] . IEEE Communications Magazine , 2020 , 58 ( 5 ): 69 - 75 .
YLIANTTILA M , KANTOLA R , GURTOV A , et al . 6G white paper:research challenges for trust,security and privacy [J ] . arXiv preprint arXiv:2004.11665 , 2020 .
赵军辉 , 李一博 , 王海明 , 等 . 6G 定位的潜力与挑战 [J ] . 移动通信 , 2020 , 44 ( 6 ): 75 - 81 .
ZHAO J H , LI Y B , WANG H M , et al . 6G localization:potentials and challenges [J ] . Mobile Communications , 2020 , 44 ( 6 ): 75 - 81 .
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