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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

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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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Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
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Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

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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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Introduction to Global Positioning System01:30

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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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Related Experiment Video

Updated: Sep 27, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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A Robust and Accurate Indoor Localization Using Learning-Based Fusion of Wi-Fi RTT and RSSI.

Hamada Rizk1,2, Ahmed Elmogy3,4, Hirozumi Yamaguchi2

  • 1Computers & Control Engineering Deptartment, Tanta University, Tanta 31527, Egypt.

Sensors (Basel, Switzerland)
|April 12, 2022
PubMed
Summary

This study introduces RRLoc, a hybrid deep learning system for indoor localization. RRLoc fuses fingerprinting and time-based methods to significantly enhance location accuracy compared to existing techniques.

Keywords:
canonical correlation analysisdeep learningfingerprintingindoor localizationround-trip time

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Robotics

Background:

  • Indoor localization is crucial for numerous applications but faces challenges with existing methods.
  • Fingerprinting techniques suffer from signal instability, while time-based methods are affected by multipath errors and non-line-of-sight conditions.

Purpose of the Study:

  • To develop a hybrid deep learning system, RRLoc, that combines fingerprinting and time-based indoor localization techniques.
  • To leverage the strengths of Received Signal Strength Indication (RSSI) and Round-Trip Time (RTT) measurements for improved accuracy.

Main Methods:

  • Developed RRLoc, a novel system fusing RSSI and RTT measurements using deep canonical correlation analysis for feature extraction.
  • Employed deep learning models trained on extracted features for location estimation.
  • Integrated modules to enhance model generalization and mitigate overtraining and noise.

Main Results:

  • RRLoc demonstrated significant improvements in localization accuracy in two distinct indoor environments.
  • Achieved at least 267% improvement over state-of-the-art fingerprinting techniques.
  • Achieved at least 496% improvement over state-of-the-art ranging-based-multilateration techniques.

Conclusions:

  • The hybrid approach of RRLoc effectively overcomes the limitations of individual fingerprinting and time-based localization methods.
  • RRLoc offers a robust and highly accurate solution for indoor localization challenges.