Просторова обробка акустичних сигналів для пеленгації та ідентифікації повітряних об'єктів

Abstract

This paper explores the application of spatial signal processing techniques, specifically using microphone arrays, to improve the detection and classification of Unmanned Aerial Vehicles (UAVs) in high-noise environments. Singlechannel acoustic systems relying on traditional spectral analysis often fail under low Signal-to-Noise Ratio (SNR) conditions typical of urban settings. To address this, we investigate Direction of Arrival (DOA) estimation via GCCPHAT alongside DAS and MVDR beamforming methods to spatially filter background noise