Integrated Display and Simulation for Automatic Dependent Surveillance-Broadcast and Traffic Collision Avoidance...

Area of Science:

• Aerospace Engineering
• Air Traffic Management
• Surveillance Systems

Background:

• Automatic Dependent Surveillance-Broadcast (ADS-B) is a key technology for future airspace surveillance.
• Limited research exists on fusing Traffic Collision Avoidance System (TCAS) and ADS-B data for enhanced situational awareness.

Purpose of the Study:

• To propose and implement a minimum ADS-B system integrating ADS-B In and ADS-B Out functionalities.
• To develop a data fusion model for improved airspace traffic situation display.
• To validate the system's performance through simulation and real-world implementation.

Main Methods:

• Development of an ADS-B In fusion model using a Variable Sampling Variational Bayesian-Interacting Multiple Model (VSVB-IMM) algorithm.
• Implementation of ADS-B Out transmission on simulator and Unmanned Aerial Vehicle (UAV) platforms.
• Theoretical model design, experimental simulation, and engineering implementation for system verification.

Main Results:

• The fused ADS-B system exhibited significantly better performance compared to independent subsystems.
• The developed system proved effective for integrated display and airspace traffic situation awareness.
• Successful ADS-B Out transmission was achieved on both simulator and UAV platforms.

Conclusions:

• The proposed ADS-B minimum system effectively integrates ADS-B In and Out capabilities.
• Data fusion enhances airspace surveillance and traffic management performance.
• The system is suitable for practical engineering applications in aviation.