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相关概念视频

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

296
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
296
Errors in Global Positioning System01:26

Errors in Global Positioning System

317
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
317
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

330
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
330

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相关实验视频

Updated: Jan 10, 2026

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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从指纹到先进的机器学习:对Wi-Fi和基于BLE的室内定位系统进行系统审查.

Sara Martín-Frechina1, Esther Dura1, Ignacio Miralles1

  • 1Department of Computer Science, ETSE, University of Valencia, Avda. de la Universidad, S/N, 46100 Burjassot, Valencia, Spain.

Sensors (Basel, Switzerland)
|November 27, 2025
PubMed
概括

这篇评论探讨了使用Wi-Fi和蓝牙的室内定位系统 (IPS) 的机器学习 (ML). 它强调了深度学习 (DL) 的进步,并为未来的研究确定了环境变化等挑战.

关键词:
到达的角度 (AoA)蓝牙低能耗 (BLE) 技术 蓝牙低能耗 (BLE)频道状态信息 (CSI) 是指通道状态信息.深度学习 (DL) 是指深度学习.在IEEE 802.11无线局域网 (Wi-Fi) 中.室内定位系统 (IPS) 是一种室内定位系统.机器学习 (ML) 是指机器学习.收到的信号强度指标 (RSSI)往返时间 (RTT)

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相关实验视频

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 无处不在的计算无处不在的计算

背景情况:

  • 室内定位系统 (IPS) 对智能环境至关重要,从基本的信号强度发展到先进的技术.
  • 频道状态信息 (CSI),往返时间 (RTT) 和到达角度 (AoA) 等方法越来越多地与机器学习 (ML) 集成.

研究的目的:

  • 系统地审查基于机器学习的室内定位系统 (IPS),使用IEEE 802.11无线局域网 (Wi-Fi) 和蓝牙低能耗 (BLE).
  • 分析测量技术,ML模型,以及从2020年到2024年在IPS文献中深度学习 (DL) 的兴起.

主要方法:

  • 系统性文献审查遵循系统性审查和元分析 (PRISMA) 方法的首选报告项目.
  • 分析了2020年至2024年间发表的研究,重点是Wi-Fi和基于BLE的IPS中的ML应用.

主要成果:

  • 确定了深度学习 (DL) 方法用于室内定位的应用日益增长的趋势.
  • 检查了最近IPS研究中使用的各种测量收集技术和ML模型.
  • 突出了持续的实施挑战,包括环境变化,设备异质性和校准要求.

结论:

  • 未来的研究应该专注于将ML扩展到RTT和AoA,开发混合式多度系统,并创建高效,适应性的DL模型.
  • 无线标准和新兴技术的进步是提高下一代IPS准确性和可扩展性的关键.