首页> 中文期刊>数字化用户:数字通讯 >A mobility compensation method for drones in SG-eloT

A mobility compensation method for drones in SG-eloT

     

摘要

In order to achieve the specific goal of a smart grid,the concept of electricity Internet of Things(eloT)has been proposed to assist the monitoring and inspection of power transmission line state and optimize the asset utilization.The long power transmission line and the complex field operation environment urge the introduction of drones into the eloT for fast power transmission line inspection,data collection from sensors for further big data analysis,adaptive control of power line voltage,etc.Additionally,drones can also act as a central communication control or relay point to serve the data exchange among sensors,drones and power transmission line maintenance personnel in the scenario where the conventional mobile communication service is not available.However,the fast mobility of drones may affect the signal transmission and position estimation performance,which may further deteriorate the networking performance.In order to solve this problem,a mobility compensation method is proposed,which includes the steps of frequency offset estimation and relative velocity calculation.Through the Monte Carlo simulations,the proposed algorithm shows favorable gains compared with the conventional ones.

著录项

  • 来源
    《数字化用户:数字通讯》|2021年第2期|P.196-200|共5页
  • 作者单位

    State Grid Zhejiang Hangzhou Xiaoshan District Power Supply Co. Ltd Hangzhou Zhejiang 311202 China;

    State Grid Zhejiang Hangzhou Xiaoshan District Power Supply Co. Ltd Hangzhou Zhejiang 311202 China;

    State Grid Zhejiang Hangzhou Xiaoshan District Power Supply Co. Ltd Hangzhou Zhejiang 311202 China;

    Zhejiang Design Institute of Water Conservancy&Hydro-Electric Power Hangzhou Zhejiang 310000 China;

    Shenyang Aerospace University Shengyan 110000 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 TN9;
  • 关键词

    SG-eloT; Drones; Mobility; Frequency offset compensation;

  • 入库时间 2023-07-26 01:47:08

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号