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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

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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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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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Distance Measurements by Taping01:18

Distance Measurements by Taping

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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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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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A Precise and Scalable Indoor Positioning System Using Cross-Modal Knowledge Distillation.

Hamada Rizk1,2, Ahmed Elmogy3,4, Mohamed Rihan5

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

Sensors (Basel, Switzerland)
|November 27, 2024
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Summary

DistilLoc enhances indoor localization by transferring knowledge from Round-Trip Time (RTT) to Received Signal Strength Indicator (RSSI) models. This achieves sub-meter accuracy, improving upon existing methods for smart environments.

Keywords:
deep learningfingerprintingindoor localizationknowledge distillationround trip time

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Area of Science:

  • Indoor localization and positioning systems
  • Machine learning for signal processing
  • Human-computer interaction and ubiquitous computing

Background:

  • Accurate user localization is crucial for human-centered applications and Sustainable Development Goals (SDGs).
  • GPS is ineffective indoors due to signal limitations, while Received Signal Strength Indicator (RSSI) methods suffer from environmental interference.
  • Round-Trip Time (RTT) offers better accuracy but lacks universal access point support.

Purpose of the Study:

  • To introduce DistilLoc, a novel cross-knowledge distillation framework for accurate and robust indoor localization.
  • To enhance Received Signal Strength Indicator (RSSI)-based localization using knowledge from Round-Trip Time (RTT) models.
  • To develop a scalable and computationally efficient solution for indoor positioning.

Main Methods:

  • Implemented a teacher-student architecture where an RTT model (teacher) trains an RSSI model (student).
  • Utilized the FNet architecture for efficient processing of multi-access point RSSI signals.
  • Evaluated DistilLoc in diverse indoor environments using Android devices and Google WiFi access points.

Main Results:

  • Achieved sub-meter localization accuracy with median errors of 0.42 m and 0.32 m in different environments.
  • Demonstrated significant improvements: 267% over conventional RSSI and 496% over multilateration.
  • Validated DistilLoc's scalability and accuracy without requiring RTT data during deployment.

Conclusions:

  • DistilLoc provides a scalable and accurate indoor localization solution by effectively transferring RTT model knowledge to RSSI models.
  • The framework overcomes limitations of traditional RSSI and RTT methods, enabling more reliable indoor positioning.
  • This technology supports intelligent, resource-efficient urban environments, contributing to SDG 9 and SDG 11.