Performance Assessment of Counter-Drone Systems Using Bayesian Networks

This paper proposes a method to model and analyze the performance of a Counter-Drone System (CDS) using Bayesian Networks (BN). Quantitative performance indexes related to the sensor and tracking algorithm used in the CDS are proposed. They are used in a BN which also accounts for CDS functions related to alert, localization and engagement of neutralization means. A case study is proposed to illustrate how performance of the CDS can be evaluated under various scenario conditions, including different types of drones and influences of the environment. To illustrate how BN can also help for design considerations of a CDS, influence of the sensor location is also analyzed.