Abstract
This paper addresses issues with monitoring systems that identify and track illegal drones. The development of drone technologies promotes the widespread commercial application of drones. However, the ability of a drone to carry explosives and other destructive materials may pose serious threats to public safety. In order to reduce these threats, we propose an acoustic-based scheme for positioning and tracking of illegal drones. Our proposed scheme has three main focal points. First, we scan the sky with switched beamforming to find sound sources and record the sounds using a microphone array; second, we perform classification with a hidden Markov model (HMM) in order to know whether the sound is a drone or something else. Finally, if the sound source is a drone, we use its recorded sound as a reference signal for tracking based on adaptive beamforming. Simulations are conducted under both ideal conditions (without background noise and interference sounds) and non-ideal conditions (with background noise and interference sounds), and we evaluate the performance when tracking illegal drones.
Highlights
In recent years, the development of drones has received considerable attention due to their diverse applications
Unlike the resource-allocation and interference-mitigation schemes [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48], this paper addresses the positioning of drones with an hidden Markov model (HMM) for classification and with beamforming for tracking, using an acoustic circular microphone array
The monitoring system combines sound-signal processing and array-signal processing technologies to scan for sound sources in the sky, and identifies them to distinguish between drones or something else
Summary
The development of drones has received considerable attention due to their diverse applications. Unlike the resource-allocation and interference-mitigation schemes [25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48], this paper addresses the positioning of drones with an HMM for classification and with beamforming for tracking, using an acoustic circular microphone array. – if it is an illegal drone, we record its sound with the array’s microphone elements (MEs) and use the recorded sound as a reference signal for tracking, based on RLS beamforming.
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