Identifying drone-related security risks by a laser vibrometer-based payload identification system

Mohamed A. A. Ismail; Andreas Bierig

doi:10.1117/12.2314441

10 May 2018 Identifying drone-related security risks by a laser vibrometer-based payload identification system

Mohamed A. A. Ismail, Andreas Bierig

Proceedings Volume 10636, Laser Radar Technology and Applications XXIII; 1063603 (2018) https://doi.org/10.1117/12.2314441
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Various drone detection systems (DDS) have been recently developed for civil and military applications. Such DDS are generally based on radio frequency (RF) radars, detecting control signals between drones and their pilots, drone's acoustic noise, optical surveillance, or a combination of these. However, existing DDS have safety critical gaps. For example, none of the current state-of-the-art technologies provide remote payload monitoring or verification. The registered payload of some commercial drones can be greatly increased by simple re-configuration procedures that may not be detected by current DDS. This study introduces patent-pending methods for remote identification and payload monitoring of standard and modified drones. Structural frequencies, measured by a long-range laser vibrometer, of commercial drones are proposed as a unique signature for remotely verifying registered specifications of a drone, e.g., payload capacity. In addition, a method is proposed to measure payload capacity of unknown drones based on their motion performance monitored via a motion dynamic model and a laser Doppler vibrometer. Preliminary flight tests have been successfully conducted for a group of standard and modified drones by the Institute of Flight Systems, DLR (German Aerospace Center).

Citation Download Citation

Mohamed A. A. Ismail and Andreas Bierig "Identifying drone-related security risks by a laser vibrometer-based payload identification system", Proc. SPIE 10636, Laser Radar Technology and Applications XXIII, 1063603 (10 May 2018); https://doi.org/10.1117/12.2314441

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Laser Doppler velocimetry

Acoustics

Signal detection

System identification

Doppler effect

Radar

Sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years