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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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A Cloud-Computing-Based Portable Networked Ground Station System for Microsatellites.

Yifei Jiang1, Shufan Wu1, Qiankun Mo1

  • 1School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China.

Sensors (Basel, Switzerland)
|May 20, 2022
PubMed
Summary
This summary is machine-generated.

A novel networked ground station system enhances microsatellite data transmission efficiency. This cloud-computing-based network utilizes multiple ground nodes and adaptive communication for successful satellite missions.

Keywords:
cloud computingground stationmicrosatellites

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Area of Science:

  • Aerospace Engineering
  • Computer Science
  • Network Engineering

Background:

  • Microsatellites are increasingly popular due to their portability and distributed nature.
  • Developing efficient ground station infrastructure is crucial for microsatellite operations.
  • Existing ground station solutions may not fully leverage the potential of networked systems.

Purpose of the Study:

  • To propose and validate a networked ground station system for microsatellite communication.
  • To enhance data transmission efficiency and reliability for microsatellite missions.
  • To demonstrate the feasibility of a cloud-computing-based coordination model for ground stations.

Main Methods:

  • Design of a networked ground station system comprising multiple coordinated ground nodes.
  • Implementation of a cloud computing model for seamless ground node coordination.
  • Integration of an adaptive communication system to optimize satellite-to-ground link efficiency.
  • Deployment and testing on a dedicated microsatellite project.

Main Results:

  • Experimental validation through extensive on-orbit testing.
  • Demonstrated excellent performance in data transmission capability.
  • Successful completion of the microsatellite mission using the proposed system.
  • Quantifiable improvements in communication link efficiency.

Conclusions:

  • The proposed networked ground station system effectively addresses the needs of microsatellite services.
  • Cloud computing provides a robust framework for coordinating distributed ground infrastructure.
  • Adaptive communication enhances the overall efficiency of satellite data downlink.
  • The system offers a scalable and high-performance solution for future microsatellite missions.