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Related Experiment Videos

Multi-sensor fusion with interacting multiple model filter for improved aircraft position accuracy.

Taehwan Cho1, Changho Lee, Sangbang Choi

  • 1Department of Electronics Engineering, Inha University, Incheon city 402-751, Korea. burujo@naver.com

Sensors (Basel, Switzerland)
|March 29, 2013
PubMed
Summary

This study enhances aircraft tracking reliability by fusing data from multiple surveillance systems like GBAS and ADS-B using an Interacting Multiple Model (IMM) filter, improving overall position accuracy.

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Area of Science:

  • Aerospace Engineering
  • Signal Processing
  • Navigation Systems

Background:

  • The International Civil Aviation Organization (ICAO) is standardizing Communications, Navigation, and Surveillance/Air Traffic Management (CNS/ATM) for 21st-century aviation.
  • New surveillance technologies including Ground-Based Augmentation System (GBAS), Automatic Dependent Surveillance-Broadcast (ADS-B), multilateration (MLAT), and wide-area multilateration (WAM) are being implemented.
  • These advanced systems offer improved aircraft tracking accuracy and coverage compared to traditional radar.

Purpose of the Study:

  • To enhance the reliability and accuracy of aircraft position determination within the CNS/ATM framework.
  • To investigate the effectiveness of a novel sensor fusion technique for integrating data from diverse aviation surveillance systems.

Main Methods:

Related Experiment Videos

  • A novel sensor fusion method utilizing the Interacting Multiple Model (IMM) filter was applied.
  • Data from GBAS, ADS-B, MLAT, and WAM sensors were integrated using the proposed fusion technique.

Main Results:

  • The sensor fusion method with the IMM filter demonstrated improved aircraft position accuracy.
  • Performance analysis confirmed the enhanced reliability of aircraft tracking through data integration.

Conclusions:

  • The proposed sensor fusion method effectively integrates data from multiple aviation surveillance systems.
  • The IMM filter-based approach significantly improves the accuracy and reliability of aircraft position surveillance in CNS/ATM environments.