[1] Zou Qian, Xia Weiwei, Zhang Jing, Huang Bonan, et al. An indoor positioning system for mobile target trackingbased on VLC and IMU fusion [J]. Journal of Southeast University (English Edition), 2018, 34 (4): 451-458. [doi:10.3969/j.issn.1003-7985.2018.04.006]

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An indoor positioning system for mobile target trackingbased on VLC and IMU fusion()

基于VLC与IMU融合的移动物体跟踪室内定位系统

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

34

Issue:

2018 4

Page:

451-458

Research Field:

Information and Communication Engineering

Publishing date:

2018-12-20

Info

Title:

An indoor positioning system for mobile target trackingbased on VLC and IMU fusion

基于VLC与IMU融合的移动物体跟踪室内定位系统

Author(s):

Zou Qian, Xia Weiwei, Zhang Jing, Huang Bonan, Yan Feng, Shen Lianfeng

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

邹倩, 夏玮玮, 张静, 黄博南, 燕锋, 沈连丰

东南大学移动通信国家重点实验室, 南京 210096

Keywords:

indoor positioning system(IPS);  visible light communication(VLC);  inertial measurement unit(IMU);  hybrid positioning algorithm

室内定位系统;  可见光通信;  惯性测量单元;  混合定位算法

PACS:

TN929.5

DOI:

10.3969/j.issn.1003-7985.2018.04.006

Abstract:

An indoor positioning system(IPS)is designed to realize positioning and tracking of mobile targets, by taking advantages of both the visible light communication(VLC)and inertial measurement unit(IMU). The platform of the IPS is designed, which consists of the light-emitting diode(LED)based transmitter, the receiver and the positioning server. To reduce the impact caused by measurement errors, both inertial sensing data and the received signal strength(RSS)from the VLC are calibrated. Then, a practical propagation model is established to obtain the distance between the transmitter and the receiver from the RSS measurements. Furthermore, a hybrid positioning algorithm is proposed by using the adaptive Kalman filter(AKF)and the weighted least squares(WLS)trilateration to estimate the positions of the mobile targets. Experimental results show that the developed IPS using the proposed hybrid positioning algorithm can extend the localization area of VLC, mitigate the IMU drifts and improve the positioning accuracy of mobile targets.

利用可见光通信(VLC)和惯性测量单元(IMU), 设计了室内定位系统(IPS), 实现对移动物体的定位和跟踪.该IPS平台包括发光二极管发射器、接收器和定位服务器3部分.为了减少由测量引起的误差, 提出了惯性传感数据校准模型和可见光通信RSS数据归一化校准模型对数据进行校准.然后, 通过建立的实际传播模型, 从RSS数据中计算发射器和接收器之间的距离.此外, 提出了一种混合定位算法, 使用自适应卡尔曼滤波器和加权最小二乘三边测量来估计移动物体的位置.实验结果表明, 采用所提混合定位算法的IPS能够扩展VLC的定位区域, 减轻IMU漂移, 提高移动物体的定位精度.

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Memo

Memo:

Biographies: Zou Qian(1993—), female, graduate; Xia Weiwei(corresponding author), female, doctor, associate professor, wwxia@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61741102, 61471164, 61601122), the Fundamental Research Funds for the Central Universities(No.SJLX_160040).
Citation: Zou Qian, Xia Weiwei, Zhang Jing, et al. An indoor positioning system for mobile target tracking based on VLC and IMU fusion[J].Journal of Southeast University(English Edition), 2018, 34(4):451-458.DOI:10.3969/j.issn.1003-7985.2018.04.006.

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