Title:
DRONE DETECTION AND CLASSIFICATION WITH COMPENSATION FOR BACKGROUND CLUTTER SOURCES
Document Type and Number:
WIPO Patent Application WO/2017/139001
Kind Code:
A3
Abstract:
A system, method, and apparatus for detecting drones are disclosed. An example method includes receiving a digital sound sample and partitioning the digital sound sample into segments. The method also includes applying a frequency and power spectral density transformation to each of the segments to produce respective sample vectors. For each of the sample vectors, the example method determines a combination of drone sound signatures and background sound signatures that most closely match the sample vector. The method further includes determining, for the sample vectors, if the drone sound signatures in relation to the background sound signatures that are included within the respective combinations are indicative of a drone. Conditioned on determining that the drone sound signatures are indicative of a drone, an alert message indicative of the drone is transmitted.
Inventors:
FRANKLIN JOHN (US)
HEARING BRIAN (US)
HEARING BRIAN (US)
Application Number:
PCT/US2016/063491
Publication Date:
September 21, 2017
Filing Date:
November 23, 2016
Export Citation:
Assignee:
DRONESHIELD LLC (US)
International Classes:
G01S3/80; G01S5/18
Foreign References:
| US20150302858A1 | 2015-10-22 | |||
| US20150063575A1 | 2015-03-05 | |||
| US20150237569A1 | 2015-08-20 | |||
| US20140226838A1 | 2014-08-14 |
Attorney, Agent or Firm:
MAJEWSKI, Dennis A. et al. (US)
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