  Integrated Sensing and Communication (ISAC) comprises detection and analysis
of non-cooperative targets by exploiting the resources of the mobile radio
system. In this context, micro-Doppler is of great importance for target
classification, in order to distinguish objects with local movements. For
developing algorithms for target classification, it is necessary to have a
large amount of target signatures. Aiming to generate these data, this paper
proposes a mathematical model for the micro-Doppler of drone rotating
propellers, and validate the proposed model by comparing it to measured
micro-Doppler. Results show that the proposed mathematical model can generate
micro-Doppler data very similar to those from measurement data.
