Nowadays, many researchers pay much attention to Multilateration localization process in air traffic control. This thesis deals with system geometry effect on target localization process. Modifications are proposed in both the sensors deployment network and the algorithm sequence used.
The work will be on a 3 steps: First, working on a small cell network taking minimum number of sensors. Different optimal sensor deployment methods will be examined and a pilot area will be chosen from a Multilateration network at Cairo International Airport, 05L Runway (RW). Simulation for a single aircraft is performed and the results are compared. Second, the deployment method that gives the best results in a small cell network will be considered and a new sensors deployment covering an area larger than the existing one is proposed, trying to have the same performance of the existing system with the advantage of decreasing the number of sensors. Finally, the proposed Multilateration network is divided into 9 main clusters and 4 backup clusters instead of using all sensors in localization process, and the cluster that has the least PDOP (position dilution of precision) is selected. To enhance the localization process only the cluster that has least PDOP < 21 is selected. Otherwise, are rejected. Space capacity and safety of Airspace Surveillance Systems are regularly increasing to meet the demands of air traffic control.
A 2-D Multilateration algorithm is proposed to accurately identify the aircraft position. It is based on the classical Two Ray propagation model. Important parameters that affect the final aircraft estimation position are presented like the path gain factor (interference factor). The proposed algorithm uses the geographic coordinates (Latitude and Longitude) which are considered more practically used in navigation than Cartesian coordinates that are used in previous algorithms in literature. In order to simulate the algorithm, the Multilateration network at Cairo international Airport is considered to be a pilot area and the results are presented.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Background
- Problem Definition
- Scope of the Research
- Thesis Outline
- Literature Review
- Surveillance Systems
- Air Traffic Control Systems
- Emerging Technologies in Air Traffic Surveillance
- Proposed Solution
- System Architecture
- Key Technologies
- Implementation Details
- System Evaluation
- Performance Metrics
- Simulation Results
- Field Testing
- Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This research aims to develop and evaluate improved strategies for air traffic surveillance systems in Egypt. The study aims to address the challenges faced by the current system and propose innovative solutions utilizing advanced technologies.
- Air Traffic Surveillance System Optimization
- Emerging Technologies in Air Traffic Control
- System Architecture and Implementation
- Performance Evaluation and Validation
- Application of Advanced Technologies for Enhanced Safety and Efficiency
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: The introduction chapter provides context for the research, outlining the background, problem definition, scope, and structure of the thesis. It highlights the need for improved air traffic surveillance systems in Egypt and the challenges associated with existing systems.
- Literature Review: This chapter presents a comprehensive review of existing literature on air traffic surveillance systems, air traffic control technologies, and emerging trends in the field. It examines different approaches and technologies employed in other countries and their applicability to the Egyptian context.
- Proposed Solution: This chapter details the proposed solution for improving air traffic surveillance in Egypt. It outlines the system architecture, key technologies employed, and implementation details. The chapter also provides a justification for the chosen approach and its anticipated advantages.
- System Evaluation: This chapter focuses on evaluating the performance of the proposed system. It defines relevant performance metrics, presents simulation results, and discusses the findings of field testing. The chapter analyzes the strengths and weaknesses of the proposed system and its potential for enhancing air traffic safety and efficiency.
Schlüsselwörter (Keywords)
This research focuses on air traffic surveillance systems, air traffic control, emerging technologies, system architecture, performance evaluation, Egypt, safety, efficiency, and advanced technologies.
Frequently Asked Questions
What is Multilateration (MLAT) in air traffic control?
Multilateration is a surveillance technology used to accurately identify an aircraft's position based on the time difference of arrival of signals at different sensors.
How does the proposed algorithm improve aircraft localization?
It uses a 2-D Multilateration algorithm based on the Two Ray propagation model and geographic coordinates (Latitude/Longitude) for more practical navigation.
What is PDOP and why is it important for surveillance?
PDOP stands for Position Dilution of Precision; the proposed system selects sensor clusters with the least PDOP to ensure maximum accuracy and safety.
Which airport was used as a pilot area for this research?
The Multilateration network at Cairo International Airport, specifically the 05L Runway, was used for simulation and evaluation.
What are the benefits of the proposed cluster-based sensor deployment?
It allows for covering larger areas with fewer sensors while maintaining high performance, thereby increasing system efficiency and airspace safety.
- Quote paper
- Mohamed El-Ghoboushi (Author), 2018, Improved Strategies applied in Air Traffic Surveillance Systems in Egypt, Munich, GRIN Verlag, https://www.grin.com/document/542924
