Performance Prediction for WiFi CSI Localization System Based on Phased Array
Author:
Affiliation:

Clc Number:

TP393

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    WiFi is one of the most important communication modes at present, and indoor localization systems based on WiFi signals are most promising for widespread deployment and application in daily life. The latest research shows that such a system can achieve submeter-level localization accuracy when it utilizes the channel state information (CSI) obtained during WiFi communication for target localization. However, the accuracy of localization in experimental scenarios depends on many factors, such as the location of the test points, the layout of the WiFi devices, and that of the antennas. Moreover, the WiFi localization systems deployed often fail to provide the desired accuracy since performance prediction methods for WiFi CSI localization are still unavailable. For the above reasons, this study develops a performance prediction model for WiFi CSI localization that applies to diverse scenarios. Specifically, the study defines the error infinitesimal function between a pair of antennas on the basis of the basic physical CSI localization model. The error infinitesimal matrix and the corresponding heat map of localization performance are generated by analyzing the localization space. Then, multi-antenna fusion and multi-device fusion methods are adopted to extend the antenna pairs, thereby constructing a general performance prediction model for CSI localization. Finally, the study proposes integrating the abovementioned heat map with scenario maps to give due consideration to actual scenario maps and ultimately provide a customized performance prediction solution for a given scenario. In addition to the theoretical analysis, this study verifies the effectiveness of the proposed performance prediction model for localization with experimental data in two scenarios. The experimental results show that the actual localization accuracy is consistent with the proposed theoretical model in variation trend, and the model optimizes the localization accuracy by 32%–37%.

    Reference
    Related
    Cited by
Get Citation

佟鑫宇,郑丁川,葛伟平,刘秀龙,王新兵.基于相控阵的WiFi CSI 定位系统的性能预测.软件学报,2023,34(11):5355-5375

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 29,2021
  • Revised:February 11,2022
  • Adopted:
  • Online: May 18,2023
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063