In this paper, we study and develop some strategies to design and deploy Mode-S multilateration systems. These strategies are based on metaheuristic optimization techniques, like Genetic Algorithm (GA) and are intended to obtain useful parameters for an optimal system configuration that provides acceptable performance levels. Furthermore, these strategies are able to evaluate and improve previous system designs. Parameters such as the number of stations, the system geometry, the kind of measurements to be used and system accuracy are obtained taking into account requirements such as the line of sight, the probability of detection and the accuracy levels.
Mantilla G, I., Balbastre T, J., de los Reyes, E., Leonardi, M., Galati, G. (2011). Strategies to Design and Deploy Mode-S Multilateration Systems. In Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV), 2011 Tyrrhenian International (pp.167-172). ROMA -- ITA : Galati/van Genderen.
Strategies to Design and Deploy Mode-S Multilateration Systems
LEONARDI, MAURO;GALATI, GASPARE
2011-09-12
Abstract
In this paper, we study and develop some strategies to design and deploy Mode-S multilateration systems. These strategies are based on metaheuristic optimization techniques, like Genetic Algorithm (GA) and are intended to obtain useful parameters for an optimal system configuration that provides acceptable performance levels. Furthermore, these strategies are able to evaluate and improve previous system designs. Parameters such as the number of stations, the system geometry, the kind of measurements to be used and system accuracy are obtained taking into account requirements such as the line of sight, the probability of detection and the accuracy levels.| File | Dimensione | Formato | |
|---|---|---|---|
|
06060983.pdf
accesso aperto
Licenza:
Creative commons
Dimensione
838.15 kB
Formato
Adobe PDF
|
838.15 kB | Adobe PDF | Visualizza/Apri |
Questo articolo è pubblicato sotto una Licenza Licenza Creative Commons
