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1. 中国移动通信集团安徽有限公司,安徽 合肥 230088
2. 华为技术有限公司,浙江 杭州 310052
[ "杨宇(1983-),男,中国移动通信集团有限公司安徽分公司网络部规划室经理、工程师,主要研究方向为GSM、TD-SCDMA、TD-LTE通信技术、室内外定位、HMI技术等。" ]
[ "陈明(1982-),男,中国移动通信集团有限公司安徽分公司工程师,主要研究方向为TD-LTE通信技术、信号仿真、室内外定位、网络优化技术等。" ]
[ "刘大庆(1985-),男,博士,华为技术有限公司工程师,主要研究方向为电磁场理论、天线、5G通信技术、室内定位技术等。" ]
网络出版日期:2018-06,
纸质出版日期:2018-06-20
移动端阅览
杨宇, 陈明, 刘大庆. 基于分布式LTE网络的室内定位系统[J]. 电信科学, 2018,34(6):91-97.
Yu YANG, Ming CHEN, Daqing LIU. An indoor positioning system based on distributed LTE network[J]. Telecommunications science, 2018, 34(6): 91-97.
杨宇, 陈明, 刘大庆. 基于分布式LTE网络的室内定位系统[J]. 电信科学, 2018,34(6):91-97. DOI: 10.11959/j.issn.1000-0801.2018185.
Yu YANG, Ming CHEN, Daqing LIU. An indoor positioning system based on distributed LTE network[J]. Telecommunications science, 2018, 34(6): 91-97. DOI: 10.11959/j.issn.1000-0801.2018185.
室内定位技术在商业和安全领域都有重要的应用,但目前仍存在定位精度低、部署成本高等问题,对此提出了一种基于LTE网络的室内定位系统,该系统定义在华为分布式皮基站之上,通过测量移动终端设备到多个接入点的参考信号强度(RSRP)或时延(ToA)进行定位。为克服LTE中上行功率控制对终端发射信号的影响,采用多信标联合解码,将绝对的信号强度或时延转换成信号强度差或时延差进行定位;该系统依托广泛部署的LTE网络,对处于无线网络连接态的终端设备提供无缝的定位服务,不依赖第三方软件,并且不会对网络性能造成影响。实验结果显示,在商场等室内场景下,使用时延差分(TDoA)技术的华为室内定位系统的平均定位精度达到3~5 m,显示出良好的应用潜力。
Indoor positioning technology has important applications in the business and security fields
but there are still existing problems with low positioning accuracy and high deployment costs.An indoor positioning system based on long term evolution ( LTE ) network was introduced.The system was defined on the Huawei distributed pico base station and was used to measure the reference signal strength (RSRP) or time of arrival (ToA) of mobile terminals to multiple access points.To overcome the uplink power control in LTE network
the absolute RSRP or ToA was converted to differential values.The system relied on widely deployed LTE networks to provide seamless location services to terminal devices in a wireless network connection state.It didn’t rely on third-party software or affect network performance.The experimental results show that the average positioning accuracy of Huawei indoor positioning system using time difference of arrival (TDoA) can reach 3~5 m in indoor scenarios such as shopping malls
showing good application potential.
SAYED A H , TARIGHAT A , KHAJEHNOURI N . Network-based wireless location [J ] . IEEE Signal Processing Magazine , 2005 , 22 ( 4 ): 24 - 40 .
吕亚娟 , 刘珊 , 胡荣贻 , 等 . 一种基于多天线簇的新型 LTE室内定位系统 [J ] . 电信科学 , 2017 , 33 ( 3 ): 67 - 75 .
LV Y J , LIU S , HU R Y , et al . A novel LTE indoor location system based on multiple antenna clusters [J ] . Telecommunications Science , 2017 , 33 ( 3 ): 67 - 75 .
HONKAVIRTA V , PERALA T , ALI-LOYTTY S , et al . A comparative survey of WLAN location fingerprinting methods [C ] // The 6th Workshop on Positioning,Navigation and Communication,March 19,2009,Hannover,Germany . Piscataway:IEEE Press , 2009 : 243 - 251 .
刘畅 , 张迅 . WLAN 接入点的室内定位技术 [J ] . 电信科学 , 2015 , 31 ( 2 ): 135 - 139 .
LIU C , ZHANG X . WLAN access point indoor positioning technology [J ] . Telecommunications Science , 2015 , 31 ( 2 ): 135 - 139 .
FELDMANN S , KYAMAKYA K , ZAPATER A , et al . An indoor bluetooth-based positioning system:concept,implementation and experimental evaluation [C ] // 2003 International Conference on Wireless Networks (ICWN),June 23-26,2003,Las Vegas,USA . Piacataway:IEEE Press , 2003 : 109 - 103 .
吴佳英 , 徐蔚鸿 , 陈顺明 , 等 . 基于 RSS 典型性判定的室内定位算法研究 [J ] . 通信学报 , 2014 , 35 ( Z2 ): 140 - 146 .
WU J Y , XU W H , CHEN S M , et al . Indoor positioning algorithm research based on the typicality judgement of RSS [J ] . Journal on Communications , 2014 , 35 ( Z2 ): 140 - 146 .
CHUENG K W , SO H C , MA W K , et al . Least square algorithms for time-of-arrival based mobile location [J ] . IEEE Transactions on Signal Processing , 2004 ( 52 ): 1121 - 1128 .
WANG X , WANG Z X , DEA B O . A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation [J ] . Journal of China Institute of Communications , 2001 , 52 ( 1 ): 112 - 116 .
CHAN Y T , TSUI W Y , SO H C , et al . Time-of-arrival based localization under NLOS conditions [J ] . IEEE Transactions on Vehicular Technology , 2006 , 55 ( 3 ): 17 - 24 .
张梦丹 , 卢光跃 , 王宏刚 , 等 . 基于指纹算法的无线室内定位技术 [J ] . 电信科学 , 2016 , 32 ( 10 ): 77 - 86 .
ZHANG M D , LU G Y , WANG H G , et al . Summary wireless indoor positioning technology based on fingerprint algorithm [J ] . Telecommunications Science , 2016 , 32 ( 10 ): 77 - 86 .
BSHARA M , ORGUNER U , GUSTAFSSON F , et al . Fingerprinting localization in wireless networks based on received-signal-strength measurements:a case study on WiMAX network [J ] . IEEE Transactions on Vehicular Technology , 2010 , 59 ( 1 ): 283 - 294 .
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