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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) 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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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) 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

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Multi-UAV Path Planning in GPS and Communication Denial Environment.

Yahao Xu1, Yiran Wei1, Di Wang1

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, 5th South Zhongguancun Street, Beijing 100081, China.

Sensors (Basel, Switzerland)
|March 30, 2023
PubMed
Summary

This study introduces a novel feature fusion algorithm for cooperative path planning in multi-UAV systems during GPS and communication denial. The FF-PPO algorithm enables successful navigation without precise target locations or inter-drone communication, achieving over 90% success.

Keywords:
GPS denialmulti-UAV cooperativepath planningreinforcement learningvisual perception

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Aerospace Engineering

Background:

  • Global Positioning System (GPS) and communication denial disrupt navigation for multiple unmanned aerial vehicles (UAVs).
  • Existing path planning algorithms fail without accurate target localization data.
  • Cooperative tasks for UAVs are hindered by the inability to share information.

Purpose of the Study:

  • To develop a robust path planning algorithm for multi-UAV systems under GPS and communication denial.
  • To enable cooperative path planning without relying on precise target location or inter-UAV communication.
  • To enhance the operational capabilities of UAVs in challenging, signal-denied environments.

Main Methods:

  • Proposed a feature fusion proximal policy optimization (FF-PPO) algorithm leveraging deep reinforcement learning (DRL).
  • Integrated image recognition with raw sensor data for target feature extraction.
  • Implemented an independent policy for distributed control in multi-UAV communication denial scenarios.

Main Results:

  • The FF-PPO algorithm successfully performs multi-UAV path planning without accurate target location data.
  • Achieved a success rate exceeding 90% in cooperative path planning tasks for multiple UAVs.
  • Demonstrated feasibility through simulations and hardware experiments.

Conclusions:

  • The FF-PPO algorithm offers a viable solution for autonomous cooperative path planning in GPS/communication-denied environments.
  • This approach enhances UAVs' resilience and operational effectiveness in contested or unmapped areas.
  • The findings support the advancement of decentralized control strategies for multi-agent systems.