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Related Concept Videos

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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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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Adjusting a Traverse01:12

Adjusting a Traverse

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

140
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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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

164
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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Updated: Aug 30, 2025

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.
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An Improved Trilateration Positioning Algorithm with Anchor Node Combination and K-Means Clustering.

Qinghua Luo1,2,3, Kexin Yang1, Xiaozhen Yan1,2

  • 1School of Information Science and Engineering, Harbin Institute of Technology, Weihai 264209, China.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces an improved trilateration algorithm using K-Means clustering to enhance positioning accuracy by filtering out erroneous results. The new method effectively reduces localization errors in various environments, including non-light-of-sight conditions.

Keywords:
K-MeansReceived Signal Strength Indicationlocalizationtrilaterationwireless sensor network

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Area of Science:

  • Computer Science
  • Signal Processing
  • Robotics

Background:

  • Trilateration is a widely used positioning algorithm for determining unknown node coordinates based on distances to known anchor nodes.
  • Environmental noise, interference, and inaccurate distance estimations significantly increase trilateration positioning errors.
  • Existing methods like least-squares and maximum likelihood struggle with accuracy in challenging environments.

Purpose of the Study:

  • To develop a novel trilateration algorithm that mitigates positioning errors caused by environmental factors and data inaccuracies.
  • To enhance the reliability and accuracy of trilateration-based localization systems.
  • To validate the proposed algorithm's performance against established methods in diverse conditions.

Main Methods:

  • A new trilateration algorithm is proposed, integrating K-Means clustering to identify and remove erroneous positioning results.
  • The method leverages both positional and distance information from anchor nodes.
  • Optimization involved analyzing factors influencing trilateration and selecting optimal parameters, followed by experimental validation.

Main Results:

  • The proposed algorithm demonstrates superior positioning accuracy and efficiency compared to classical trilateration, least-squares, and maximum likelihood methods.
  • Performance is validated in both light-of-sight (LOS) and non-light-of-sight (NLOS) scenarios.
  • Experimental tests in indoor, outdoor, and hall environments confirm reduced mean distance error, especially with limited anchor nodes.

Conclusions:

  • The combined K-Means clustering and trilateration approach effectively filters significant positioning errors, improving localization accuracy.
  • The algorithm offers a robust solution for positioning challenges posed by environmental interference and data uncertainty.
  • This enhanced trilateration method provides a feasible and effective alternative for various real-world positioning applications.