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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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Detection of Transmitted Power Violation Based on Geolocation Spectrum Database in Satellite-Terrestrial Integrated

Ning Yang1, Pinghui Li1, Daoxing Guo1

  • 1College of Communications Engineering, Army Engineering University, Nanjing 210007, China.

Sensors (Basel, Switzerland)
|August 14, 2020
PubMed
Summary

This study introduces a new method for detecting transmitted power violations (TPV) in integrated satellite-terrestrial networks. The developed detector effectively identifies spectrum policy breaches, safeguarding satellite systems.

Keywords:
generalized likelihood ratio testgeolocation spectrum databasesatellite communicationspectrum sharing

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Area of Science:

  • Integrated network systems
  • Wireless communication spectrum management
  • Signal detection theory

Background:

  • Terrestrial base stations can violate spectrum policies, causing significant damage to satellite systems.
  • Detecting transmitted power violations (TPV) is challenging due to the lack of prior information on abnormal behaviors.
  • Satellite-terrestrial integrated networks require robust methods to ensure spectrum policy adherence.

Purpose of the Study:

  • To develop an effective detection framework for transmitted power violations (TPV) in satellite-terrestrial integrated networks.
  • To address the complexity and challenges associated with detecting unknown abnormal behaviors.
  • To propose a novel detector that maximizes detection probability while adhering to false-alarm constraints.

Main Methods:

  • Utilized a geolocation spectrum database-based detection framework specifying tasks and spectrum policies.
  • Applied ternary hypothesis testing and the generalized Neyman-Pearson (GMNP) test criterion.
  • Developed the Abnormal after Normal (AaN) detector to simplify analysis and enhance detection capabilities.

Main Results:

  • The proposed detector successfully identifies transmitted power violations (TPV) in most tested scenarios.
  • The detector achieves high detection probability while maintaining a low false-alarm rate.
  • Simulations demonstrate the practical effectiveness of the AaN detector in real-world conditions.

Conclusions:

  • The developed detector provides a viable solution for mitigating TPV in integrated networks.
  • The framework ensures the protection of satellite systems from terrestrial interference.
  • This research contributes to the reliable operation of future integrated communication systems.