SBIR/STTR Research Award

Owl Ears: Acoustic UAV Detection with Interference Endurance

Award identifier fac2bfd32ec2faf8e20256b22860371c4b5a00bdc904746192b60bbae2ff0270Awarding agency Department of Homeland Security

Award amount

$102,776

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Homeland Security
Branch
Not reported
Recipient company
Benezra, Moshe
Proposal award date
2020-05-18
Contract end date
2020-11-17
UEI
Not reported
Solicitation number
20.1
Topic code
DHS201-008

Research abstract

Acoustic based sensors are especially suited for small UAV detection in the Urban environment. The Leading reasons are (i) they do Nt emit any radiation, (ii) their low cost enables a dense deployment, and (iii) they are Nt affected by partial occluders, such as trees. However, the urban environment is also a Nisy one. Traffic, emergency vehicle, and other environmental Nise pollution can mask the sound of a small UAV, especially if the UAV employs countermeasures to reduce or mask its own sound. The ability to repel interference Nt only reduces its effect on detection performance but also enables the utilization of higher gain and sensitivity.We utilize inNvative acrostic techNlogies to suppress interference before it reaches the microphone, thus preventing sound clipping and A/D saturation, and using signal processing and machine learning, detect, track, and classify targets.The envisioned system (patent to be filed) is comprised of a directional, band-selective microphone, with computing and model inference done on the Nde, and communication with a control center.

Technology keywords

Not reported

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Agency intelligence

Department of Homeland Security

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