1.重庆邮电大学工业物联网与网络化控制教育部重点实验室,重庆 400065
2.重庆邮电大学通信与信息工程学院,重庆 400065
[ "李泽 男,1991年11月出生于安徽省淮南市.现为重庆邮电大学自动化学院讲师,主要研究方向为无线定位与感知. E-mail: lize@cqupt.edu.cn" ]
[ "王平 男,1963年2月出生于重庆市.现为重庆邮电大学自动化学院教授,主要研究方向为工业物联网与网络化测控." ]
收稿:2022-07-20,
修回:2023-06-15,
纸质出版:2023-07-25
移动端阅览
李泽,王平,田增山等.基于终端侧的室内单站定位技术研究[J].电子学报,2023,51(07):1765-1773.
LI Ze,WANG Ping,TIAN Zeng-shan,et al.Research on Indoor Localization Based on Terminal Using a Single Access Point[J].ACTA ELECTRONICA SINICA,2023,51(07):1765-1773.
李泽,王平,田增山等.基于终端侧的室内单站定位技术研究[J].电子学报,2023,51(07):1765-1773. DOI: 10.12263/DZXB.20220863.
LI Ze,WANG Ping,TIAN Zeng-shan,et al.Research on Indoor Localization Based on Terminal Using a Single Access Point[J].ACTA ELECTRONICA SINICA,2023,51(07):1765-1773. DOI: 10.12263/DZXB.20220863.
本文提出一种基于终端侧的室内单站定位技术,其中为了解决网络中收发之间同步误差的影响,本文使用单个接入点(Access Point,AP)上接收到的反射路径和直达路径进行定位.首先,利用下行链路的信道状态信息对AP到终端之间传播路径的离开角和信号传输时间(Time Of Flight,TOF)进行联合估计;其次,提出一种高阶反射路径过滤算法对单次反射路径进行提取;然后,利用直达路径和反射路径的TOF构建目标定位方程,然后利用室内反射体的分布特点对目标的位置进行搜索;再者,利用电磁仿真软件构建室内环境,仿真结果表明,本文所提系统可以达到0.6 m的定位精度;最后,本文利用软件无线电搭建测试系统,真实环境下的测试结果表明,本文所提系统可以达到0.82 m的定位精度,并且所提高阶反射路径过滤算法可以有效地提升定位精度.
This paper proposes an indoor localization technology based on terminal. To solve the impact of synchronization error between receiver and transmitter in the network
this paper uses the reflection path and direct path received on a single access point (AP) for localization. Firstly
the departure angle and time of flight (TOF) of the propagation path from AP to terminal are estimated by using the channel state information of downlink. Secondly
a high-order reflection path filtering algorithm is proposed to extract the single-order reflection path. Then
the TOFs of direct path and reflection path are used to construct the localization equation
and the distribution characteristics of indoor reflectors is used to search the target location. After that
the electromagnetic simulation software is used to build an indoor environment. Simulation results show that the proposed system can achieve an accuracy of 0.6 m. Finally
software radio devices are used to build a test system
and the test results in real environment show that the proposed system can achieve an accuracy of 0.82 m. Furthermore
the proposed high-order reflection path filtering algorithm can effectively enhance the localization accuracy.
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