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Related Concept Videos

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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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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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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Introduction to Global Positioning System01:30

Introduction to Global Positioning System

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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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Indoor Localization System Based on RSSI-APIT Algorithm.

Xiaoyan Shen1,2, Boyang Xu1,2, Hongming Shen1

  • 1School of Information Science and Technology, Nantong University, Nantong 226019, China.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces the RSSI-APIT algorithm, enhancing indoor localization accuracy by fusing received signal strength indication (RSSI) and approximate perfect point-in-triangulation test (APIT) with machine learning. The improved algorithm significantly reduces localization errors in complex environments.

Keywords:
ANNRSSI-APIT algorithmindoor localization systemreceived signal strength indication

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Geomatics Engineering

Background:

  • Indoor localization systems face challenges with accuracy due to signal fluctuations and multipath effects.
  • Conventional methods like APIT struggle with precision in wide-area scenarios.
  • Machine learning integration is key to overcoming limitations in current indoor positioning technologies.

Purpose of the Study:

  • To develop an enhanced indoor localization system by improving data preprocessing and localization algorithms.
  • To mitigate RSSI fluctuations and multipath effects using Gaussian filtering and artificial neural networks (ANN).
  • To increase the accuracy and stability of indoor localization through a novel RSSI-APIT algorithm.

Main Methods:

  • Fusion of Received Signal Strength Indication (RSSI) and Approximate Perfect Point-In-Triangulation test (APIT) localization methods.
  • Integration of Gaussian filtering and Artificial Neural Network (ANN) for RSSI data preprocessing.
  • Incorporation of RSSI ranging function into APIT for improved wide-area localization accuracy.

Main Results:

  • The RSSI-APIT algorithm successfully reduced localization errors by approximately 2.9 m compared to trilateral localization and 1.8 m compared to traditional APIT.
  • Localization error was consistently controlled within 1.55 m in a 100 m² complex environment.
  • The system demonstrated reduced anchor call frequency, leading to lower operating costs and enhanced localization accuracy and stability.

Conclusions:

  • The RSSI-APIT algorithm offers a significant improvement in indoor localization accuracy and stability.
  • The integration of advanced signal processing and machine learning effectively addresses multipath effects and enhances positioning precision.
  • This enhanced system provides a cost-effective and reliable solution for precise indoor positioning across various environments.