Wireless positioning system based on LF wake-up and ELM

ZHANG Tian-cheng

doi:10.13873/J.1000-9787(2016)03-0102-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Wireless positioning system based on LF wake-up and ELM

更新时间：2025-09-11

- Wireless positioning system based on LF wake-up and ELM
- Vol. 35, Issue 3, Pages: 102-104(2016)
- 作者机构：
  
  清华大学自动化系
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)03-0102-03
  CLC： TN929.5;TP391.44
- Published：2016
- 稿件说明：
移动端阅览
[1]张天承.基于低频唤醒和极限学习机的无线定位系统[J].传感器与微系统,2016,35(03):102-104.

ZHANG Tian-cheng. Wireless positioning system based on LF wake-up and ELM[J]. 2016, 35(3): 102-104.
[1]张天承.基于低频唤醒和极限学习机的无线定位系统[J].传感器与微系统,2016,35(03):102-104. DOI： 10.13873/J.1000-9787(2016)03-0102-03.

ZHANG Tian-cheng. Wireless positioning system based on LF wake-up and ELM[J]. 2016, 35(3): 102-104. DOI： 10.13873/J.1000-9787(2016)03-0102-03.

摘要

设计了一种基于低频（LF）唤醒技术和极限学习机（ELM）分类算法的无线定位系统。实现了低频唤醒、射频应答的电路结构和通信回路

实现了有源应答器的超低待机监听。通过比较各类型的多种射频定位算法

选用基于ELM分类的定位算法

对低频唤醒接收信号强度指示（RSSI）数据进行分类并实现定位

有效降低了定位算法在线阶段的计算量

在单片机系统中实现了实时定位计算。测试结果表明:定位系统在有效范围内定位精度可达15 cm

定位正确率可达95%以上

在定位精度和稳定性方面明显优于超高频（UHF）频段射频定位系统。

Abstract

A wireless positioning system based on low-frequency（ LF） wake-up and ELM classification algorithm is designed. The circuit and communication loop for LF wake-up and RF response is designed

and listening of transponder with ultra-low power consumption is achieved. By comparing numeral RF positioning algorithms

select ELM-based classification positioning algorithm

LF wake-up RSSI data is classified and located

effectively reduce amount of computations at on-line stage of algorithm

realtime positioning computation is realized on MCU systems. Test result shows that the positioning precision in effective range can reach 15 cm

correctness rate of positioning is positioning is over 95 %

it is prior to UHF RF positioning systems in positioning precision and stability.

关键词

Keywords

references

无线传感器网络的分区域质心定位算法 [J]. 王曙光. 传感器与微系统 . 2014(12)

基于进化理论的无线网络室内定位算法 [J]. 孙中廷,华钢,黄金城. 传感器与微系统 . 2014(09)

一种基于无线传感器网络的加权阈值质心定位算法 [J]. 项亚南,潘丰. 传感器与微系统 . 2014(09)

基于RFID双频段定位系统天线设计 [D]. 武亚鹏. 西安电子科技大学 2014

基于多频RFID组合定位系统设计与应用 [D]. 王沛. 西安电子科技大学 2014

基于射频指纹匹配的高精度鲁棒定位技术的研究与验证 [D]. 徐俊俊. 北京邮电大学 2013

Trends in extreme learning machines: A review [J] . Gao Huang,Guang-Bin Huang,Shiji Song,Keyou You. Neural Networks . 2015

Extreme learning machine: Theory and applications [J] . Guang-Bin Huang,Qin-Yu Zhu,Chee-Kheong Siew. Neurocomputing . 2006 (1)

LANDMARC: Indoor Location Sensing Using Active RFID [J] . Lionel M. Ni,Yunhao Liu,Yiu Cho Lau,Abhishek P. Patil. Wireless Networks . 2004 (6)

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on detection of heavy metals in shellfish based on spectroscopy

Model of indoor distance measurement optimization techniques based on RSSI

A fuzzy weights targets location method in WSNs

PSO localization algorithm based on joint ranging modification of neighbor node

Application of WSNs-based positioning strategy for landslide monitoring

Related Author

LIU Yao

MENG Xiangli

ZHANG Guo

WANG Jian-ping

YANG Xiao-hong

TAO Jia-feng

ZHOU Jie

CAI Shi-qing

Related Institution

School of Electronic and Electrical Engineering,Lingnan Normal University

Faculty of Information Engineering and Automation,Kunming University of Science and Technology

School of Electronic and Information Engineering,Nanjing University of Information Science and Technology

School of Computer and Telecommunications,Changsha University of Science and Technology

School of Information Engineering,Jiangxi University of Science and Technology

⁰