Modelling Micro-Doppler Signature of Drone Propellers in Distributed ISAC

Abstract

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.

6 pages, 8 figures, LaTeX; IEEE accepted version with copyright notice

Cited by in corpus (2)

• Accelerating Innovation in 6G Research: Real-Time Capable SDR System Architecture for Rapid Prototyping
• Sounding-Based Evaluation of Multi-Sensor ISAC Networks for Drone Applications: Measurement and Simulation Perspectives