面向可见光无线定位的指纹推理模型校准

周炳朋; 陈光森; 王鑫

doi:10.12263/DZXB.20230329

您当前的位置：

首页 >

文章列表页 >

面向可见光无线定位的指纹推理模型校准

学术论文 | 更新时间：2025-12-11

- 面向可见光无线定位的指纹推理模型校准
- Fingerprinting Inference Model Calibration Towards Visible Light-Based Positioning
- 电子学报 2024年52卷第6期页码：1925-1937
- 作者机构：
  
  1.中山大学电子与通信工程学院，广东深圳 518107
  2.中山大学深圳市导航通信一体化重点实验室，广东深圳 518107
- 作者简介：
  
  [ "周炳朋男，1987年生，山东莱阳人，工学博士，中山大学电子与通信工程学院副教授.主要研究无线通信与定位感知，已入选广东省重大人才工程青年人才、深圳市海外高层次人才.中国电子学会会员编号：E190158528M.E-mail: zhoubp3@mail.sysu.edu.cn" ]
  [ "陈光森男，1996年10月生，广西贺州人，工学学士，中山大学电子与通信工程学院硕士生.主要研究可见光无线定位.E-mail: chengs9@mail2.sysu.edu.cn" ]
  [ "王鑫女，2000年7月生，安徽阜阳人，工学学士，中山大学电子与通信工程学院硕士生.主要研究可见光无线定位.E-mail: wangx535@mail2.sysu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(62001526);广东省自然科学基金(2021A1515012021);广东省重大人才工程青年项目(2021QN02X074);中山大学中央高校基本科研业务费专项基金(23QNPY22);深圳市科技计划（No.‍ZDSYS20210623091807023）
- DOI：10.12263/DZXB.20230329
  中图分类号： TP393
- 收稿：2023-04-14，
  
  修回：2023-10-18，
  
  纸质出版：2024-06-25
- 稿件说明：
移动端阅览
周炳朋,陈光森,王鑫.面向可见光无线定位的指纹推理模型校准[J].电子学报,2024,52(06):1925-1937.

ZHOU Bing-peng,CHEN Guang-sen,WANG Xin.Fingerprinting Inference Model Calibration Towards Visible Light-Based Positioning[J].ACTA ELECTRONICA SINICA,2024,52(06):1925-1937.
周炳朋,陈光森,王鑫.面向可见光无线定位的指纹推理模型校准[J].电子学报,2024,52(06):1925-1937. DOI： 10.12263/DZXB.20230329.

ZHOU Bing-peng,CHEN Guang-sen,WANG Xin.Fingerprinting Inference Model Calibration Towards Visible Light-Based Positioning[J].ACTA ELECTRONICA SINICA,2024,52(06):1925-1937. DOI： 10.12263/DZXB.20230329.

摘要

针对可见光无线定位指纹推算技术遇到的指纹赋权模型校准难题，本文利用贝叶斯推断理论和随机优化方法，提出了一种高效的指纹赋权模型校准优化方法.首先，利用可见光接收信号强度及其对应的位置和姿态标签建立指纹数据库；其次，依据指纹观测模型及最大熵理论，构建高斯型指纹赋权模型，用于推算可见光无线终端的位置和姿态；然后，依据随机优化理论，将高斯赋权模型校准难题建模为随机优化问题，并设计了基于连续凸函数逼近的赋权模型优化算法解决其中的非凸函数优化难题，从而实现对指纹赋权模型参数的高效校准，提升可见光定位的指纹推算精度.通过对指纹赋权过程进行建模与优化，本文提出的指纹定位方法能够有效抑制非视距传播干扰、弥补指纹匹配误差，极大地提升了可见光指纹定位的精度.仿真数据表明，本文基于指纹赋权模型优化的可见光无线定位算法相比于主流的指纹定位方法具有更高的定位性能.

Abstract

In order to address the difficult fingerprinting-based visible light positioning (VLP) issue

an efficient fingerprinting interference model (FIM) calibration algorithm is proposed via leveraging Bayesian inference and stochastic optimization approaches. Firstly

a fingerprinting database is built by collecting received signal strength of visible light from various observation grids with known location and pose angles. Secondly

a Gaussian-form FIM is developed as per maximum entropy theory

and then FIM calibration is treated as a stochastic optimization problem. Finally

a successive convex approximation-driven optimization algorithm is proposed for calibrating FIM parameters by exploiting hidden convex sub-structures of FIM

thus improving the fingerprinting-based VLP performance. With our problem-specific algorithm design

the proposed FIM calibration-enhanced VLP method can alleviate the disturbance from non-line-of-sight propagation interference and fingerprinting model mismatch. It is verified by simulation results that our FIM calibration-enhanced VLP method outperforms the state-of-the-art baseline methods.

关键词

Keywords

references

WYMEERSCH H , LIEN J , WIN M Z . Cooperative localization in wireless networks [J ] . Proceedings of the IEEE , 2009 , 97 ( 2 ): 427 - 450 .

吴楠 , 王旭东 , 胡晴晴 , 等 . 基于多LED的高精度室内可见光定位方法 [J ] . 电子与信息学报 , 2015 , 37 ( 3 ): 727 - 732 .

WU N , WANG X D , HU Q Q , et al . Multiple LED based high accuracy indoor visible light positioning scheme [J ] . Journal of Electronics & Information Technology , 2015 , 37 ( 3 ): 727 - 732 . (in Chinese)

娄鹏华 , 张洪明 , 郎凯 , 等 . 基于室内可见光照明的位置服务系统 [J ] . 光电子·激光 , 2012 , 23 ( 12 ): 2298 - 2303 .

LOU P H , ZHANG H M , LANG K , et al . A location-based services system using indoor visible light sources [J ] . Journal of Optoelectronics·Laser , 2012 , 23 ( 12 ): 2298 - 2303 . (in Chinese)

ZHOU B , CAO Y , ZHUANG Y . On the performance gain of harnessing non-line-of-sight propagation for visible light-based positioning [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 7 ): 4863 - 4878 .

ZHOU B , LIU A , LAU V . Performance limits of visible light-based positioning using received signal strength under NLOS propagation [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 11 ): 5227 - 5241 .

ARMSTRONG J , SEKERCIOGLU Y A , NEILD A . Visible light positioning: A roadmap for international standardization [J ] . IEEE Communications Magazine , 2013 , 51 ( 12 ): 68 - 73 .

卢恒惠 , 刘兴川 , 张超 , 等 . 基于三角形与位置指纹识别算法的WiFi定位比较 [J ] . 移动通信 , 2010 , 34 ( 10 ): 72 - 76 .

LU H H , LIU X C , ZHANG C , et al . Comparison of WiFi localization methods based on trilateration and location fingerprinting [J ] . Mobile Communications , 2010 , 34 ( 10 ): 72 - 76 . (in Chinese)

魏恒瑞 , 王蔚庭 . 基于WIFI定位技术的改进型位置指纹识别算法研究 [J ] . 制造业自动化 , 2014 , ( 23 ): 148 - 151 .

WEI H R , WANG W T . Modified position fingerprint identification algorithm based on WIFI positioning technology research [J ] . Manufacturing Automation , 2014 , ( 23 ): 148 - 151 . (in Chinese)

杨广龙 , 孔勇平 , 钟致民 , 等 . 基于多模指纹匹配的室内定位系统设计与实现 [J ] . 计算机工程与设计 , 2013 , 34 ( 5 ): 1896 - 1901 .

YANG G L , KONG Y P , ZHONG Z M , et al . Multimode-fingerprint matching based indoor positioning system design and implementation [J ] . Computer Engineering and Design , 2013 , 34 ( 5 ): 1896 - 1901 . (in Chinese)

QIU K , ZHANG F , LIU M . Visible Light Communication-based indoor localization using Gaussian Process [C ] // 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . Hamburg : IEEE , 2015 : 3125 - 3130 .

VAN M T , VAN TUAN N , SON T T , et al . Weighted k -nearest neighbor model for indoor VLC positioning [J ] . IET Communications , 2017 , 11 ( 6 ): 864 - 871 .

ABOU-SHEHADA I , ALMUALLIM A F , ALFAQEH A K , et al . Accurate indoor visible light positioning using a modified pathloss model with sparse fingerprints [J ] . Journal of Lightwave Technology , 2021 , 39 ( 20 ): 6487 - 6497 .

HASAN A , GLASS T , ALAM F , et al . Fingerprint-based visible light positioning using multiple photodiode receiver [C ] // IEEE Sensors Applications Symposium (SAS) . Kuala Lumpur : IEEE , 2020 : 1 - 6 .

ZHOU B , LAU V , CHEN Q , et al . Simultaneous positioning and orientating (SPAO) for visible light communications: Algorithm design and performance analysis [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 12 ): 11790 - 11804 .

GUIASU S , SHENITZER A . The principle of maximum entropy [J ] . The Mathematical Intelligencer , 1985 , 7 ( 1 ): 42 - 48 .

SHORE J , JOHNSON R . Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy [J ] . IEEE Transactions on Information Theory , 1980 , 26 ( 1 ): 26 - 37 .

LIU A , LAU V , ZHAO M . Stochastic successive convex optimization for two-timescale hybrid precoding in massive MIMO [J ] . IEEE Journal of Selected Topics in Signal Processing , 2018 , 12 ( 3 ): 432 - 444 .

SAHIN A , EROGLU Y S , GUVENC I , et al . Accuracy of AOA-based and RSS-based 3D localization for visible light communications [C ] // 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) . Boston : IEEE , 2015 : 1 - 5 .

YIN L , WU X , HAAS H . Indoor visible light positioning with angle diversity transmitter [C ] // 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall) . Boston : IEEE , 2015 : 1 - 5 .

YASIR M , HO S W . VELLAMBI B N. Indoor positioning system using visible light and accelerometer [J ] . Journal of Lightwave Technology , 2014 , 32 ( 19 ): 3306 - 3316 .

AL-KINANI A , WANG C X , HAAS H , et al . A geometry-based multiple bounce model for visible light communication channels [C ] // 2016 International Wireless Communications and Mobile Computing Conference(IWCMC) . Paphos : IEEE , 2016 : 31 - 37 .

成顺利 , 闫坤 , 李卓 , 等 . 朗伯模型参数优化的可见光室内定位技术 [J ] . 光通信研究 , 2018 , ( 5 ): 69 - 73 .

CHENG S L , YAN K , LI Z , et al . Visible-light indoor positioning technology based on the parameters optimization of Lambertian model [J ] . Study on Optical Communications , 2018 ,( 5 ): 69 - 73 . (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于终端侧的室内单站定位技术研究

面向WLAN室内定位的T检验样本容量优化方法

基于CFR虚拟阵列天线的AOA室内定位

面向非视距环境的室内定位算法

支持异步TDOA测量的确定性定位网络