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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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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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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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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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Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Design Example: Alignment of a Road Line Using GIS01:17

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The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
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An Improved Initial Alignment Method Based on SE2(3)/EKF for SINS/GNSS Integrated Navigation System with Large

Jin Sun1,2, Yuxin Chen3, Bingbo Cui4,5

  • 1College of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an improved initial alignment method for strap-down inertial navigation system/global navigation satellite system (SINS/GNSS) integrated systems. The new approach enhances accuracy and speed, particularly for systems with large initial misalignment angles.

Keywords:
Lie groupSINS/GNSS integrated navigation systemglobal navigation satellite system (GNSS)initial alignmentlarge misalignment anglesstrap-down inertial navigation system (SINS)three-dimension special Euclidean group and extended Kalman filter (SE2(3)/EKF)

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Area of Science:

  • Navigation Systems Engineering
  • Control Theory
  • Robotics

Background:

  • Strap-down inertial navigation systems (SINS) integrated with global navigation satellite systems (GNSS) are crucial for accurate positioning.
  • Traditional initial alignment methods struggle with large initial misalignment angles, impacting performance.
  • Accurate state error characterization is essential for robust SINS/GNSS integration.

Purpose of the Study:

  • To develop an improved initial alignment method for SINS/GNSS integrated systems facing large misalignment angles.
  • To enhance the accuracy and speed of the initial alignment process.
  • To address the limitations of traditional methods in challenging alignment scenarios.

Main Methods:

  • Utilizes the three-dimensional special Euclidean group and extended Kalman filter (SE(3)/EKF) framework.
  • Models state errors (attitude, velocity, position) as elements of a Lie group for accurate nonlinear error quantification.
  • Incorporates a group vector mixed error model accounting for gyroscope and accelerometer zero bias errors.
  • Derives a GNSS-assisted SINS dynamic initial alignment algorithm leveraging velocity and position measurement invariance.

Main Results:

  • The SE(3)/EKF-based alignment method demonstrates higher accuracy in scenarios with large misalignment angles.
  • Rapid reduction of attitude error to lower levels is achieved.
  • The proposed method effectively overcomes challenges associated with traditional alignment techniques.

Conclusions:

  • The proposed SE(3)/EKF-based initial alignment method offers superior performance for SINS/GNSS systems with large misalignment angles.
  • Lie group theory provides a robust framework for modeling and quantifying state errors in navigation systems.
  • The method enhances alignment speed and accuracy, making it suitable for demanding applications.