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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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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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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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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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Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
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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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A Novel Cooperative Localization Method Based on IMU and UWB.

Yongqiang Han1, Chenchen Wei1, Rong Li2

  • 1School of Automation, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|January 18, 2020
PubMed
Summary

This study introduces a new cooperative localization method using Inertial Measurement Unit (IMU) and Ultra-Wideband (UWB) for robust navigation. It significantly reduces the need for auxiliary nodes, improving accuracy even with limited data.

Keywords:
cooperative localizationdead reckoninginertial measurementpose estimationultra-wideband

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Area of Science:

  • Robotics and Navigation
  • Sensor Fusion
  • Optimization Algorithms

Background:

  • Independent platform localization can fail due to GPS loss or sensor errors.
  • Cooperative localization networks enhance navigational robustness by sharing information.
  • Traditional Ultra-Wideband (UWB) systems require numerous auxiliary nodes, limiting practical application.

Purpose of the Study:

  • To propose a novel Inertial Measurement Unit (IMU)/UWB-based cooperative localization method.
  • To reduce the minimum required number of auxiliary nodes for localization.
  • To enable accurate pose and azimuth estimation in cooperative localization systems.

Main Methods:

  • Developed an Adaptive Ant Colony Optimization Particle Filter (AACOPF) algorithm.
  • Integrated dead reckoning (DR) system with auxiliary node information.
  • Analyzed and experimentally validated conditions for solvable azimuth and localization.

Main Results:

  • Achieved accurate pose estimation with a minimum of one auxiliary node.
  • Demonstrated the solvability of azimuth estimation under specific conditions.
  • AACOPF outperformed Extended Kalman Filter (EKF) and traditional Particle Filter (PF).

Conclusions:

  • The proposed IMU/UWB cooperative localization method enhances navigational robustness.
  • AACOPF provides a superior approach for integrating sensor data in cooperative localization.
  • The method is feasible for real-world applications like car-to-trolley and car-to-pedestrian scenarios.