基于Wi-Fi的室内定位原型机研究与实现

李振宁; 张春; 李永明; 谢拓; 贾雯

Chinese

您当前的位置：

首页 >

文章列表页 >

基于Wi-Fi的室内定位原型机研究与实现

更新时间：2026-09-04

- 基于Wi-Fi的室内定位原型机研究与实现
- Research and Implementation of Indoor Positioning Prototype Based on Wi-Fi
- 微电子学与计算机 2017年34卷第1期页码：90-94
- 作者机构：
  
  1. 清华大学微电子学研究所,北京,100084
  2. 深圳清华大学研究院机构,广东,深圳,518057
- 作者简介：
- 基金信息：
  
  深圳市基础研究项目 JCYJ20140419122040601
- DOI：
  中图分类号：
- 纸质出版：2017
- 稿件说明：
移动端阅览
李振宁, 张春, 李永明, 谢拓, 贾雯. 基于Wi-Fi的室内定位原型机研究与实现[J]. 微电子学与计算机, 2017, 34(1): 90-94.

LI Zhen-ning, ZHANG Chun, LI Yong-ming, et al. Research and Implementation of Indoor Positioning Prototype Based on Wi-Fi[J]. 2017, 34(1): 90-94.
李振宁, 张春, 李永明, 谢拓, 贾雯. 基于Wi-Fi的室内定位原型机研究与实现[J]. 微电子学与计算机, 2017, 34(1): 90-94. DOI：

LI Zhen-ning, ZHANG Chun, LI Yong-ming, et al. Research and Implementation of Indoor Positioning Prototype Based on Wi-Fi[J]. 2017, 34(1): 90-94. DOI：

摘要

分析及对比了各种室内定位方法

为达到更高的定位精度

采用到达时间差法(TDOA)来定位.设计了基于Wi-Fi的室内定位原型机

采用NI公司的软件无线电平台USRP 2952R来实现.整个系统包括Wi-Fi协议的接收、时差测量和位置解算与显示.测试结果表明

能达到0.3 m的准确度和精度

以及每个位置1 s的刷新频率

满足了室内定位系统的需求.

Abstract

Various methods of indoor positioning systems are analyzed and compared in this paper. In order to achieve higher precision of positioning

the Time Difference of Arrival (TDOA) method is used for positioning. An indoor positioning prototype based on Wi-Fi is designed and its implemented by USRP 2952R Software Defined Radio (SDR) platform from NI. The whole system includes the receiving of Wi-Fi protocol

time difference calculation and position computation and display. The test results show that it could reach an accuracy and precision of 0.3 m

and the refresh rate for each point is 1 s

which could meet the requirement of indoor positioning system.

关键词

Keywords

references

Soba J, Munir A, Suksmono A B. Barker code radar simulation for target range detection using software defined radio[C]//Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on. Yogyakarta, 2013: 271-276.

Want R. An introduction to RFID technology[J]. IEEE Pervasive Computing, 2006, 5(1): 25-33. DOI: 25

Haring L, Bieder S, Czylwik A, et al. Estimation algorithms of multiple channels and carrier frequency offsets in application to multiuser OFDM systems[J]. IEEE Transactions on Wireless Communications, 2010, 9(3): 865-870. DOI: 865

陈丽娜. WLAN位置指纹室内定位关键技术研究[D]. 上海: 华东师范大学, 2014.

Selmi A Vervisch-Picois, Samama N. Design of new codes for reducing interference between-Like signals transmitted indoors[C]//Indoor Positioning and Indoor Navigation (IPIN), 2013 International Conference on. Montbeliard-Belfort, 2013: 1-9.

Youssef M, Agrawala A. The Horus WLAN location determination system[C]//Proceedings of the 3rd international conference on Mobile systems, applications, and services. ACM, 2005: 205-218.

IEEE. IEEE Std 802.11-2012 IEEE Standard for Information technology-Telecommunications and information exchange between systems Local and metropolitan area networks--Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specification[S]. IEEE, 2012.

龚国辉, 李思昆. 提高DSSS信号PN码相位测量精度的三点二次插值法[J]. 通信学报, 2007, 28(2): 130-133. DOI: 130

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

大模型发展综述：从BERT到Deepseek的技术演进

一种基于特征上下文理解与切片分析的肺结核检测算法

AlN/GaN混合缓冲层双异质结p-GaN HEMT直流特性仿真

注意力机制与改进密集卷积引导的信息隐藏模型

基于改进RT-DETR的航拍小目标检测算法