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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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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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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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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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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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Updated: Jul 10, 2025

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Adaptive DCS-SOMP for Localization Parameter Estimation in 5G Networks.

Paulo Francisco da Conceição1, Flávio Geraldo Coelho Rocha1

  • 1Department of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiânia 74605-010, Brazil.

Sensors (Basel, Switzerland)
|November 25, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive algorithm for precise 3D device localization using 5G millimeter-wave and massive MIMO technologies. The enhanced Distributed Compressed Sensing-Subspace Orthogonal Matching Pursuit method improves accuracy and efficiency for Industry 4.0 applications.

Keywords:
5GDCS-SOMPcompressed sensingparameter estimation

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Area of Science:

  • Wireless Communication Systems
  • Signal Processing
  • Robotics and Automation

Background:

  • 5G millimeter-wave (mmWave) and massive Multiple-Input Multiple-Output (mMIMO) are key technologies for advanced wireless systems.
  • Precise device localization in 3D environments is critical for Industry 4.0 applications like smart warehousing.
  • Existing localization methods may lack the accuracy and efficiency required for high-precision tasks.

Purpose of the Study:

  • To develop and evaluate an adaptive algorithm for precise 3D device localization.
  • To estimate key localization parameters: Time of Arrival (TOA), 2D Angle of Departure (2D-AoD), and 2D Angle of Arrival (2D-AoA).
  • To enhance the performance of localization in Industry 4.0 scenarios.

Main Methods:

  • Modeling a 5G downlink channel incorporating mmWave and mMIMO.
  • Utilizing an adaptive Distributed Compressed Sensing-Subspace Orthogonal Matching Pursuit (DCS-SOMP) algorithm.
  • Dynamically adapting the sensing matrix in each iteration to constrain the search space.

Main Results:

  • The adaptive DCS-SOMP approach significantly improves the accuracy of parameter estimation.
  • The proposed method demonstrates faster convergence speeds compared to traditional techniques.
  • Reduced memory usage was observed, indicating greater computational efficiency.

Conclusions:

  • The adaptive DCS-SOMP algorithm provides superior performance for 3D device localization in 5G mmWave/mMIMO systems.
  • This enhanced localization capability is vital for precision-driven Industry 4.0 applications.
  • The method offers a promising solution for accurate and efficient device tracking in complex environments.