| Title |
Dronų sienos prasiveržimų tikimybinis modeliavimas taikant binominį skirstinį ir Monte Karlo simuliaciją |
| Translation of Title |
Probabilistic modeling of drone wall penetrations using binomial distribution and Monte Carlo simulation. |
| Authors |
Solovjovas, Arturas |
| Full Text |
|
| Pages |
70 |
| Keywords [eng] |
counter-unmanned aircraft system (C-UAS) ; unmanned aerial vehicles (UAV) ; penetration probability ; binomial distribution ; Monte Carlo simulation |
| Abstract [eng] |
This master’s final degree project evaluates the effectiveness of a “drone wall” type counter-unmanned aircraft system (C-UAS) under mass attack and system saturation conditions. The research focuses on the number of penetrating targets when system operation is constrained by finite capacity and the success of individual target interception depends on detection and neutralization probabilities. A probabilistic model based on the binomial distribution and Monte Carlo simulation was developed to evaluate the distribution of penetrating unmanned aerial vehicles and the associated risk. The results showed that the relationship between the number of attacking targets and system capacity has the greatest influence on penetration risk. The developed model can be used to assess C-UAS effectiveness, identify critical system load limits, and support engineering decision-making under mass attack conditions. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2026 |
