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相关概念视频

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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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...
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Local Attraction01:22

Local Attraction

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Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
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Errors in Global Positioning System01:26

Errors in Global Positioning System

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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,...
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Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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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...
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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

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The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
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Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
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一个新的优化的iBeacon本地化算法建模模型.

Zhengyu Yu1,2, Liu Chu1, Jiajia Shi1

  • 1School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China.

Sensors (Basel, Switzerland)
|July 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了CFKF算法,以提高室内定位精度,使用iBeacon技术. 这种新的方法通过减少错误,信号干扰和环境噪声来提高精度,从而实现可靠的对象跟踪.

关键词:
蓝牙是低能耗的蓝牙.卡尔曼过器可以过.在iBeacon的本地化.收到的信号强度指示器无线传感器网络是无线传感器网络.

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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
  • * * 信号处理 信号处理

背景情况:

  • * 传统的室内定位方法 (雷达,超声波,激光,信标) 存在精度限制.
  • *iBeacon系统提供低成本和易于使用,但与精度和干扰作斗争.
  • *现有的iBeacon技术容易受到无线电信号干扰和环境噪音的影响.

研究的目的:

  • * 开发基于iBeacon的室内定位的高级错误建模算法.
  • *为了提高信号校准,减少不确定性,并消除iBeacon系统中的噪声.
  • * 用蓝牙传感器来提高室内物体跟踪的准确性和可靠性.

主要方法:

  • *开发基于曲线拟合卡尔曼波器 (CFKF) 的新型错误建模算法.
  • * 实施信号校准,减少不确定性和消除噪声技术.
  • *对CFKF算法的可靠性,准确性和可行性的实验验证.

主要成果:

  • *通过实验测试证明了准确性和精度的显著改善.
  • *有效减少错误,信号干扰和环境噪声.
  • *验证CFKF方法,以提高iBeacon本地化性能.

结论:

  • *开发的Curve Fitted Kalman Filter (CFKF) 算法在iBeacon本地化方面取得了重大进展.
  • *这种新的方法有效地解决了当前iBeacon系统的准确性和可靠性挑战.
  • *CFKF算法为室内物体定位和跟踪提供了可行和精确的解决方案.