Communication Dans Un Congrès Année : 2024

Movement characterization of multirotor UAV based on their acoustic signature

Résumé

This paper introduces a novel approach for characterizing Unmanned Aerial Vehicle (UAV) movements by leveraging instantaneous frequency information extracted from captured acoustic signals. Through the extraction of Instantaneous Frequency Laws (IFLs) from specific time-frequency regions of interest, polynomial approximations are employed for characterization. These approximations facilitate the synthesis of reference signals describing the UAV's primary movements. The proposed UAV sensing approach is experimental validated considering a multirotor UAV.

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Dates et versions

hal-04944144 , version 1 (13-02-2025)

Identifiants

Citer

Dragos Nastasiu, Cristina Despina-Stoian, Angela Digulescu, Cornel Ioana, Denis Stanescu. Movement characterization of multirotor UAV based on their acoustic signature. COMM 2024 - 15th International Conference on Communications (COMM), Oct 2024, Bucharest, Romania. pp.1-5, ⟨10.1109/COMM62355.2024.10741485⟩. ⟨hal-04944144⟩
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