Track and Truth Correlation in Military Simulations

Solution Methods within an Assignment Problem Framework

Master Thesis (2024)
Authors

S. van Benthem (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Supervisors

David de Laat (TU Delft - Discrete Mathematics and Optimization)

Nicole van Elst (TNO)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Publication Year
2024
Language
English
Graduation Date
26-06-2024
Awarding Institution
Delft University of Technology
Programme
Applied Mathematics
Sponsors
TNO
Faculty
Electrical Engineering, Mathematics and Computer Science
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Abstract

Military simulation is essential for modern warfare, providing a virtual environment for training, analysis, and rehearsal of procedures. Accurate correlation between simulated entities, called tracks, and their radar detections, called tracks, is crucial for generating reliable data, vital for evaluating military operations and improving training exercises. However, factors like radar noise, communication errors, and simulation inaccuracies complicate this correlation. This thesis aims to develop a robust method for correlating simulated truth entities with corresponding radar tracks in military simulations. The proposed method tackles challenges such as radar noise and communication errors to improve the reliability and validity of simulation statistics. The research encompasses the theoretical development of three correlation algorithms, one of which serves as a benchmark for verification. The methods were evaluated across various simulated scenarios, in which the two correlation methods consistently outperformed the benchmark, particularly in scenarios with fewer data points.

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