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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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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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Related Experiment Video

Updated: May 25, 2025

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults
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Improving Performance of Bluetooth Low Energy-Based Localization System Using Proximity Sensors and Far-Infrared

Vitomir Djaja-Josko1, Marcin Kolakowski1, Jacek Cichocki1

  • 1Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, 00-661 Warsaw, Poland.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid positioning system combining Bluetooth Low Energy (BLE) and infrared (IR) sensors to enhance location accuracy. Experimental results show this integrated approach significantly reduces positioning errors for improved tracking.

Keywords:
BLEangle estimationdistance measurementshybrid positioning systemindoor localizationparticle filterproximity sensorthermal sensor array

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Area of Science:

  • Robotics and Automation
  • Sensor Fusion
  • Indoor Positioning Systems

Background:

  • Accurate indoor localization remains a challenge for many applications.
  • Existing systems like Bluetooth Low Energy (BLE) have limitations in precision.
  • Infrared (IR) sensors offer potential for complementary spatial data.

Purpose of the Study:

  • To develop and evaluate a hybrid positioning scheme integrating BLE and IR sensors.
  • To improve the accuracy of indoor localization by fusing data from disparate sensor types.
  • To assess the effectiveness of IR proximity and thermal array sensors in enhancing BLE-based positioning.

Main Methods:

  • Implementation of a hybrid system combining BLE with IR proximity (VL53L5CX) and thermal array (MLX90640) sensors.
  • Independent operation of IR sensors, providing distance and angle data.
  • Fusion of BLE and IR sensor data using a particle-filter-based algorithm.
  • Experimental validation of the proposed hybrid localization scheme.

Main Results:

  • IR sensors (VL53L5CX, MLX90640) achieved angle estimations with a mean accuracy of a few degrees.
  • The hybrid system demonstrated a significant reduction in mean positioning error, on the order of several centimeters.
  • Successful fusion of BLE and IR data improved overall localization performance.

Conclusions:

  • A hybrid positioning scheme integrating BLE and IR sensors offers enhanced accuracy over standalone systems.
  • IR sensors, particularly proximity and thermal arrays, are valuable complements to BLE for precise localization.
  • Particle filter fusion effectively combines data from diverse sensors for robust positioning.