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A Method for Analyzing the Impact of Intra-System and Inter-System Interference on DME Based on Queueing Theory
Guofeng Jiang1,2, Yangyu Fan3
1School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China. jgf_6921@mail.nwpu.edu.cn.
Sensors (Basel, Switzerland)
|January 19, 2019
Summary
Accurate analysis of electromagnetic interference for Distance Measuring Equipment (DME) is crucial. This study presents a new analytic model using queueing theory, improving interference analysis accuracy, especially with multiple aircraft.
Area of Science:
- Aviation technology
- Electromagnetic compatibility
- Signal processing
Background:
- Accurate analysis of electromagnetic interference (EMI) is essential for reliable Distance Measuring Equipment (DME) operation.
- Current methods for DME interference analysis, often based on pulse overlap, suffer from significant errors when dealing with a large number of aircraft.
- Existing limitations necessitate a more robust approach to assess both intra-system and inter-system interference.
Purpose of the Study:
- To develop an accurate method for analyzing DME interference, applicable regardless of the number of aircraft.
- To address the limitations of existing pulse overlap-based interference analysis methods.
- To provide a more precise tool for evaluating DME performance under various interference scenarios.
Main Methods:
- Analysis of DME signal flowcharts to identify limitations of current methods.
- Construction of an M/M/1/0 queueing system model to analyze signal duration and receiver dead time collisions.
- Integration of the queueing model with other methods to create a comprehensive analytic model for DME interference analysis.
- Evaluation of Reply Efficiency (RE) and DME capacity under intra-system and Joint Tactical Information Distribution System (JTIDS) interference.
Main Results:
- The developed analytic model provides a more accurate assessment of DME interference compared to single-method approaches.
- The queueing model effectively calculates the probability of overlap between DME dead time and subsequent signals, showing strong agreement with simulation results.
- The study demonstrates the model's capability in analyzing DME performance under specific interference conditions.
Conclusions:
- The proposed analytic model enhances the accuracy of DME interference analysis, particularly in dense air traffic scenarios.
- Queueing theory offers a valuable framework for modeling signal collisions and receiver dead time in DME systems.
- The findings support the adoption of this improved analytic model for better DME system design and operational planning.
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